siebel data model reference for industry applications v8.1.1
TRANSCRIPT
Siebel Data Model Reference for Industry Applications
Version 8.1November 2008
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Contents
Siebel Data Model Reference for Industry Applications 1
Chapter 1: What’s New in This Release
Chapter 2: Data Model Overview
Chapter 3: Logical ModelEntity Relationship Diagram Conventions 13
General Entities 14Exclusive Arc Relationship 14Recursive Relationship 15
Entity Relationship Diagrams and Descriptions 16Account 23Account Targeting 26Activity 28Adjustment Group 30Affiliations and Best Times 32Agencies/Agent 34Asset Management 36Auction 38Auto Email Response Generator 40Automotive Retail 42Benefit Case Management 44Brick 47CG Promotion Planning 49Clinical Study Management 52Communications, Media, and Energy Account 55CME Agreement 57CME Alert 59CME Energy Products, Service, and Usage 61CME Order Management 63Commercial Banking 65Commercial Insurance 68Community/Chat Discussion 70Compensation Planning Administration 72Compensation Planning Execution 74Competency Management System 76
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Content Management 78Contract Conditions 80Contracts 82Data Visibility 84Dealer Sales and Service Promotion 87Document ID and Tax ID 89Dun & Bradstreet Integration 91Employee KPI 93Event Tax Administration 95Expense Reports 97Field Service Inventory 99Field Service Scheduler 101Financial Account 102Financial Account Application 105Financial Investments 107Financial Products 109Financial Services Events 111Forecasts 114Group Insurance Policies 116Group Pensions 118Health Provider and Provider Group 120High Tech Marketing Development Fund 122High Tech Special Pricing Authorization 124Hospitality Category 126Institutional Sales 128Insurance Claims 130Insurance Policies 133Invoicable Charges 135Invoices 137Life Insurance Policy 139Loyalty 141Managed Care 145Marketing Campaign 147Marketing Collaboration 149Marketing Encyclopedia 151Marketing Events 153Marketing Plans 156Medical Education Event Management 158Objectives 160Opportunity Management 162Order Life Cycle 164Orders 166
Contents ■
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Partner Collaboration 168Partner Program Registration 170Party Model 172Payments 174Performance Review 176Personal Account 179Personal Financial Review 181Personalized Content Delivery 183Pricing Comparison 185Pricing 187Product Promotion 189Product Quality Tracking 191Product Recommendation 193Products or Services 195Professional Services 197Public Sector Case Lead Management 199Public Sector Contact Identity 202Public Sector Evidence Management 204Public Sector Incident Management 206Revenue 208Routes and Best Call Hours 210Sales Hierarchy and Credit Assignment 212Sales Volume Planning 214Sample Management 216Service Agreement 218Service Calendars and Work Shifts 220Service Request 222Shipment 224Siebel Assistant 226Syndicated Data 228Teller Administration 230Territory Alignment–Quota Assignment 232Territory Management 234Territory Management - Consumer Sector 236Territory Management - Life Sciences 238Textile, Apparel, and Footwear 240Time Sheet 242Trade Promotions 244Training Curriculum Course 246Training Test Engine 248Universal Customer Master 250Vehicle 252
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Vehicle Collection 254Vehicle Financing 256Vehicle Sales 258Versioned Object Definition 260Warranty 262
Chapter 4: Physical ModelData Model Naming Conventions 265
Table Naming Conventions 265Index Naming Conventions 267Column Naming Conventions 267Abbreviations Used in the Physical Model Listings 268
Data Model Type Definitions 268Table Type Definitions 269Table Status Definitions 270Column Type Definitions 271Domain Type Definitions 271
Columns of Numeric Physical Type 272
Siebel System Fields 272
INTEGRATION_ID Columns 273
Include Only Field 273
Siebel Repository 273
Database Schema Version 274
Limit Checking for Data Types 274
Validating the Siebel Schema 274
Party Model Unifies Access to Data 275
Generating a Report about Tables 275
Chapter 5: Schema ChangesTable Changes in This Version 277
New Tables in This Version 277Changed Tables in This Version 281
Table Column Changes in This Version 281New Table Columns in This Version 282Changed Table Columns in This Version 311
Table Index Changes in This Version 311New Table Indexes in This Version 312
Contents ■
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Changed Table Index in This Version 317Table Index That Was Deleted from This Version 318
Index
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Siebel Data Model Reference for Industry Applications Version 8.1 9
1 What’s New in This Release
What’s New in Siebel Data Model Reference for Industry Applications, Version 8.1Table 1 lists changes described in this version of the documentation to support release 8.1 of the software.
Table 1. What’s New in Siebel Data Model Reference for Industry Applications, Version 8.1
Topic Description
“Benefit Case Management” on page 44 This new feature supports benefits determination and case-information verification.
“Loyalty” on page 141 The Loyalty Member and Loyalty Program ERDs of previous releases have been consolidated into a single ERD. Features that are designed to extend accrual, redemption, promotion, enrollment, member administration, partner administration, and other functions have been added.
“Personalized Content Delivery” on page 183
This new feature allows sales representatives for pharmaceutical companies to deliver a sales communication using multimedia visualizations.
“Public Sector Case Lead Management” on page 199
The functionality of this ERD has been extended to enable data from application forms to be uploaded into Siebel objects.
“Sample Management” on page 216 This ERD has been modified to improve a pharmaceutical company’s ability to monitor and use its auditing and compliance processes.
“Table Changes in This Version” on page 277
A listing of the table changes in this schema, including the new tables and changes to the existing table definitions.
“Table Column Changes in This Version” on page 281
A listing of the table column changes in this schema, including the new columns and changes to the existing column definitions.
“Table Index Changes in This Version” on page 311
A listing of the index changes in this schema, including the new indexes, deleted indexes, and changes to the existing index definitions.
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Siebel Data Model Reference for Industry Applications Version 8.1 11
2 Data Model Overview
Oracle’s Siebel Data Model defines how the data used by Siebel Business Applications is stored in a standard relational DBMS such as Oracle, DB2, or Microsoft SQL Server. The Siebel Data Model also defines some of the data integrity constraints validated by Siebel Business Applications.
NOTE: The terms and conditions of your license agreement with Oracle permits use only of those portions of the Siebel Data Model that correspond to the Siebel products you have purchased. You are not entitled to use any portion of the Siebel Data Model to support Siebel products for which you have not purchased the required licenses.
The Siebel Data Model is designed for speed and performance in data entry, running limited scope queries, and managing processes like call scripting. These tasks are considered transactions, and the database used is called an online transaction processing (OLTP) database.
Optimizing a database used for these purposes requires a design, or schema, that puts each unit of information in a single location in the database. This allows you to update the data efficiently, since you do not have to update the same unit of data in several different locations. Most tables in an OLTP database have links, or join paths, to other tables, sometimes to many other tables.
The database design used in an OLTP database is usually normalized. There are several levels of database normalization, ranging from first to fifth normal form. The Siebel database is in third normal form.
The information in this reference is intended as an aid in configuring and using Siebel Business Applications.
CAUTION: Do not attempt to insert or update data in the Siebel Business Applications tables through non-Siebel application products. Doing so can render your Siebel database unusable; additionally, you limit the ability of Oracle to provide you with quality support.
To learn how to configure an application to insert, update, and delete data interactively, read the Siebel Developer’s Reference. To learn how to insert, update, and delete data in large quantities, see Siebel Enterprise Integration Manager Administration Guide.
NOTE: The Siebel Bookshelf is available on Oracle Technology Network (OTN) and Oracle E-Delivery. It might also be installed locally on your intranet or on a network location.
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Siebel Data Model Reference for Industry Applications Version 8.1 13
3 Logical Model
The Siebel logical model represents the following in Siebel Business Applications:
■ Entities
■ Relationships between entities
This information is represented in entity relationship diagrams (ERDs).
Oracle has made and continues to make a significant investment in modeling the business functions of sales, marketing, and service organizations. The entity relationship diagrams included in this chapter represent the logical model for the current release of Siebel Business Applications. In some areas, the model extends beyond the current implementation. Published entities, therefore, might appear in the logical model that may not be implemented in the physical model at the present time.
The ERDs included in this publication are those that are the most useful to individuals involved in implementing or integrating Siebel Business Applications. These diagrams cover the application areas that are most relevant to a functional understanding of the application.
The information on ERDs is organized as follows:
■ Entity Relationship Diagram Conventions
■ Entity Relationship Diagrams and Descriptions on page 16
Entity Relationship Diagram ConventionsThis topic describes entity relationship diagram conventions, as follows:
■ General Entities on page 14
■ Exclusive Arc Relationship on page 14
■ Recursive Relationship on page 15
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General EntitiesFigure 1 shows the diagram conventions for general entities used in this publication.
Exclusive Arc RelationshipFigure 2 illustrates an example of the exclusive arc relationship. An exclusive arc is an arc across two or more relationship ends; you can read each exclusive arc relationship as follows:
Figure 1. General Entity Relationship Diagram Conventions
Logical Model ■ Entity Relationship Diagram Conventions
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Each [entity] must be [relationship name] either to one and only one [entity] or [relationship name] to one and only one [entity]. For example, each Product Comparison must be to either one and only one Product Internal or to one and only one Product External as shown in Figure 2.
Recursive RelationshipFigure 3 illustrates an example of the recursive relationship. A recursive relationship is one in which an entity has a relationship to itself. For example, each activity might be part of one and only one activity, or each activity might be made up of one or more activities, as shown in Figure 3.
Recursive relationships are almost always optional, and either one-to-many or many-to-many.
Figure 2. Exclusive Arc Relationship Diagram Convention Example
Figure 3. Recursive Relationship Diagram Convention Example
Activity
Entity Relationship Example:
1) Each activity may by made up of one or more activities.2) Each activity may be part of one and only one activity.
Part of
Made up of
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Entity Relationship Diagrams and DescriptionsERDs represent the significant entities and relevant relationships in a functional area. To enhance their readability, the diagrams do not include every relationship and subtype. Some many-to-many relationships have also been preserved instead of showing them as one-to-many relationships around intersection tables in the logical model.
Table 2 provides a list of ERDs in alphabetic order.
Table 2. Entity Relationship Diagrams
ERD NameFigure Num. and Page Functional Area
Revised in 8.1
Newin 8.1
Account Figure 4 on page 25
General No No
Account Targeting Figure 5 on page 27
Consumer Sector No No
Activity Figure 6 on page 29
Life Sciences No No
Adjustment Group Figure 7 on page 31
General No No
Affiliations and Best Times Figure 8 on page 33
Life Sciences No No
Agencies/Agent Figure 9 on page 35
Financial Services No No
Asset Management Figure 10 on page 37
General No No
Auction Figure 11 on page 39
General No No
Auto Email Response Generator Figure 12 on page 41
General No No
Automotive Retail Figure 13 on page 43
Automotive No No
Benefit Case Management Figure 14 on page 46
Public Sector No Yes
Brick Figure 15 on page 48
Life Sciences No No
CG Promotion Planning Figure 16 on page 51
Marketing No No
Clinical Study Management Figure 17 on page 54
Life Sciences No No
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Communications, Media, and Energy Account
Figure 18 on page 56
CME No No
CME Agreement Figure 19 on page 58
CME No No
CME Alert Figure 20 on page 60
CME No No
CME Energy Products, Service, and Usage
Figure 21 on page 62
CME No No
CME Order Management Figure 22 on page 64
CME No No
Commercial Banking Figure 23 on page 67
Financial Services No No
Commercial Insurance Figure 24 on page 69
Financial Services No No
Community/Chat Discussion Figure 25 on page 71
Life Sciences No No
Compensation Planning Administration Figure 26 on page 73
ERM No No
Compensation Planning Execution Figure 27 on page 75
ERM No No
Competency Management System Figure 28 on page 77
ERM No No
Content Management Figure 29 on page 79
General No No
Contract Conditions Figure 30 on page 81
General No No
Contracts Figure 31 on page 83
General No No
Data Visibility Figure 32 on page 86
General No No
Dealer Sales and Service Promotion Figure 33 on page 88
Automotive No No
Document ID and Tax ID Figure 34 on page 90
Handheld No No
Dun & Bradstreet Integration Figure 35 on page 92
Sales/Marketing No No
Table 2. Entity Relationship Diagrams
ERD NameFigure Num. and Page Functional Area
Revised in 8.1
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Employee KPI Figure 36 on page 94
ERM No No
Event Tax Administration Figure 37 on page 96
Hospitality No No
Expense Reports Figure 38 on page 98
General No No
Field Service Inventory Figure 39 on page 100
Service No No
Field Service Scheduler Figure 40 on page 102
Service No No
Financial Account Figure 41 on page 104
Financial Services No No
Financial Account Application Figure 42 on page 106
Financial Services No No
Financial Investments Figure 43 on page 108
Financial Services No No
Financial Products Figure 44 on page 110
Financial Services No No
Financial Services Events Figure 45 on page 113
Financial Services No No
Forecasts Figure 46 on page 115
Sales/Marketing No No
Group Insurance Policies Figure 47 on page 117
Financial Services No No
Group Pensions Figure 48 on page 119
Financial Services No No
Health Provider and Provider Group Figure 49 on page 121
Financial Services No No
High Tech Marketing Development Fund Figure 50 on page 123
Marketing No No
High Tech Special Pricing Authorization Figure 51 on page 125
Sales No No
Hospitality Category Figure 52 on page 127
General No No
Institutional Sales Figure 53 on page 129
Financial Services No No
Table 2. Entity Relationship Diagrams
ERD NameFigure Num. and Page Functional Area
Revised in 8.1
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Insurance Claims Figure 54 on page 132
Financial Services No No
Insurance Policies Figure 55 on page 134
Financial Services No No
Invoicable Charges Figure 56 on page 136
Service No No
Invoices Figure 57 on page 138
Service No No
Life Insurance Policy Figure 58 on page 140
Financial Services No No
Loyalty Figure 59 on page 144
General Yes No
Managed Care Figure 60 on page 146
Life Sciences No No
Marketing Campaign Figure 61 on page 148
Marketing No No
Marketing Collaboration Figure 62 on page 150
Marketing No No
Marketing Encyclopedia Figure 63 on page 152
Sales/Marketing No No
Marketing Events Figure 64 on page 155
General No No
Marketing Plans Figure 65 on page 157
Marketing No No
Medical Education Event Management Figure 66 on page 159
Life Sciences No No
Objectives Figure 67 on page 161
Consumer Sector No No
Opportunity Management Figure 68 on page 163
Sales No No
Order Life Cycle Figure 69 on page 165
General No No
Orders Figure 70 on page 167
General No No
Partner Collaboration Figure 71 on page 169
General No No
Table 2. Entity Relationship Diagrams
ERD NameFigure Num. and Page Functional Area
Revised in 8.1
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Partner Program Registration Figure 72 on page 171
General No No
Party Model Figure 73 on page 173
General No No
Payments Figure 74 on page 175
General No No
Performance Review Figure 75 on page 178
ERM No No
Personal Account Figure 76 on page 180
Industry-Specific No No
Personal Financial Review Figure 77 on page 182
Industry-Specific No No
Personalized Content Delivery Figure 78 on page 184
Life Sciences No Yes
Pricing Comparison Figure 79 on page 186
Energy No No
Pricing Figure 80 on page 188
General No No
Product Promotion Figure 81 on page 190
General No No
Product Quality Tracking Figure 82 on page 192
General No No
Product Recommendation Figure 83 on page 194
General No No
Products or Services Figure 84 on page 196
Service No No
Professional Services Figure 85 on page 198
General No No
Public Sector Case Lead Management Figure 86 on page 201
Public Sector Yes No
Public Sector Contact Identity Figure 87 on page 203
Public Sector No No
Public Sector Evidence Management Figure 88 on page 205
Public Sector No No
Public Sector Incident Management Figure 89 on page 207
Public Sector No No
Table 2. Entity Relationship Diagrams
ERD NameFigure Num. and Page Functional Area
Revised in 8.1
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Revenue Figure 90 on page 209
General No No
Routes and Best Call Hours Figure 91 on page 211
Sales No No
Sales Hierarchy and Credit Assignment Figure 92 on page 213
Sales No No
Sales Volume Planning Figure 93 on page 215
Consumer Sector No No
Sample Management Figure 94 on page 217
Life Sciences Yes No
Service Agreement Figure 95 on page 219
Service No No
Service Calendars and Work Shifts Figure 96 on page 221
Service No No
Service Request Figure 97 on page 223
Service No No
Shipment Figure 98 on page 225
General No No
Siebel Assistant Figure 99 on page 227
General No No
Syndicated Data Figure 100 on page 229
Life Sciences No No
Teller Administration Figure 101 on page 231
Financial Services No No
Territory Alignment–Quota Assignment Figure 102 on page 233
Sales No No
Territory Management Figure 103 on page 235
Sales No No
Territory Management - Consumer Sector
Figure 104 on page 237
Service No No
Territory Management - Life Sciences Figure 105 on page 239
Sales No No
Textile, Apparel, and Footwear Figure 106 on page 241
Consumer Sector No No
Time Sheet Figure 107 on page 243
General No No
Table 2. Entity Relationship Diagrams
ERD NameFigure Num. and Page Functional Area
Revised in 8.1
Newin 8.1
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Trade Promotions Figure 108 on page 245
General No No
Training Curriculum Course Figure 109 on page 247
General No No
Training Test Engine Figure 110 on page 249
General No No
Universal Customer Master Figure 111 on page 251
General No No
Vehicle Figure 112 on page 253
Automotive No No
Vehicle Collection Figure 113 on page 255
Automotive No No
Vehicle Financing Figure 114 on page 257
Automotive No No
Vehicle Sales Figure 115 on page 259
Automotive No No
Versioned Object Definition Figure 116 on page 261
General No No
Warranty Figure 117 on page 263
Service No No
Table 2. Entity Relationship Diagrams
ERD NameFigure Num. and Page Functional Area
Revised in 8.1
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AccountFigure 4 shows the Account ERD. The account entity is a key entity in the Siebel Data Model. The account entity appears in many diagrams in this publication, and is often referred to as an organization unit.
The account entity is a subtype of party composed of one or more people or contacts. An account is any organization or subset of an organization that can be sold to or serviced. An account might represent a company, a site, a subsidiary, a division, or any other subset of an organization. An account might also represent a governmental agency, club, or other formal or informal group of individuals. Each account might be accessible at one or more addresses.
The account entity supports Global Account Views and Dynamic Hierarchy. This allows a universal
view of all customer interactions. The Global Account Views present accounts in the context of a customizable hierarchy, allowing navigation to parent and child accounts. Roll-up and roll-down functionality gives users access to account-specific information, and aggregate information including child accounts, activities, contacts, opportunities, and the account team.
Dynamic Hierarchy allows the Global Account Views to display a different hierarchy depending on the business unit of the user. Each custom account hierarchy is represented completely in a relationship table. The relationships are then denormalized into a separate table to be used for roll-up support.
Table 3 lists the entities in this ERD and their corresponding tables.
Table 3. Account ERD Entities and Tables
Entity Table
Account S_ORG_EXT, S_PARTY
Account Synonym S_ORG_SYN
Activity S_EVT_ACT
Address S_ADDR_PER
Assignment Group (Territory) S_ASGN_GRP
Business Unit S_BU, S_ORG_EXT, S_PARTY
Characteristics S_CHRCTR
Dynamic Account Hierarchy S_DYN_HRCHY
Dynamic Account Hierarchy Node S_DYN_HRCHY_REL
Employee/Agent S_EMP_PER, S_CONTACT, S_PARTY
Industry S_INDUST
Market Segment S_MKT_SEG
Party S_PARTY
Payment Term S_PAYMENT_TERM
Person S_CONTACT, S_PARTY
Position S_POSTN, S_PARTY
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Price List S_PRI_LST
Sales or Service Team Member S_ACCNT_POSTN
Table 3. Account ERD Entities and Tables
Entity Table
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Figure 4. Account
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Account TargetingFigure 5 shows the Account Targeting ERD. This ERD illustrates how Siebel Enterprise applications
(Consumer Goods) support account targeting as an extension of basic querying. Account targeting provides the capability to save the results of account queries and apply those account lists when you schedule routes. The results that you save are called target lists. Target lists consist of sets of accounts that meet the conditions defined by the query. Typically, the target lists you create in account targeting are for a specific purpose and period of time. For example, the target lists might be used to support a promotion, a campaign, or an objective.
Table 4 lists the entities in this ERD and their corresponding tables.
Table 4. Account Targeting ERD Entities and Tables
Entity Table
Account S_ORG_EXT, S_PARTY
Criteria S_CG_QUERY_ITEM
Employee S_CONTACT, S_PARTY
Objective S_SRC
Query S_CG_QUERY
Route S_ACCNTRT
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 27
Figure 5. Account Targeting
CRITERIA
ACCOUNT
QUERY RESULT SET
EMPLOYEE
QUERY
ROUTEOBJECTIVE
submitted by
submit
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applied to
created from
applied to
returned by
return
belong to
have
combined by
combineconsist of appear on
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ActivityFigure 6 shows the Activity ERD. This ERD illustrates how activities, contact calls, account calls, attendee calls, and meetings are managed. Every activity belongs to the employee creator and other employees assigned to the activity. Activities can be associated with one or more contacts and one account. Contact calls are associated with the employee creator and the contact, and can be associated with other employees who have been assigned, product details, samples, promotional items, and decision issues. Account calls are associated with the employee creator and an account, and can be associated with other employees who have been assigned, product details, and multiple attendee calls. Each attendee call is associated with the product details from the account call and one contact, and can be associated with samples, promotional items, and decision issues. Meetings include the employee who owns the meeting, the contacts invited to attend, the account where the meeting is taking place, and the product to be discussed at the meeting.
Table 5 lists the entities in this ERD and their corresponding tables.
Table 5. Activity ERD Entities and Tables
Entity Table
Account S_ORG_EXT, S_PARTY
Activity S_EVT_ACT
Contact S_CONTACT
Employee S_EMP_PER, S_CONTACT, S_PARTY
Indication S_PROD_APPLCTN
Issue S_PROD_ISS
Person S_CONTACT, S_PARTY
Product S_PROD_INT
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Siebel Data Model Reference for Industry Applications Version 8.1 29
Figure 6. Activity
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N
PR
OD
UC
T
DE
TAIL
PR
OM
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ON
AL
ITE
M
SA
MP
LE
PE
RS
ON CO
NTA
CT
EM
PLO
YE
E
AC
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ME
ETI
NG
ATT
EN
DE
E /
INV
ITE
E
CO
NTA
CT
CA
LL
ATT
EN
DE
E C
ALL
AC
CO
UN
T C
ALL
have
belo
ngs
capt
ured
for
cont
ain
com
pose
d of
affil
iate
d w
ith
subj
ect o
f
for
for
subj
ect o
f
cons
ider
atio
n on
subj
ect t
o
resp
onsi
ble
for
resp
onsi
bilit
y of
subj
ect t
o
cons
ider
atio
n on
disc
usse
d at
disc
ussi
on o
ffo
r
cont
ains
invi
ted
to/a
ttend
invi
te/a
ttend
pers
onal
list
of
belo
ng to
subj
ect o
f
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sam
pled
at
sam
plin
g of
drop
ped
at
for
Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
30
Adjustment GroupFigure 7 shows the Adjustment Group ERD. This ERD illustrates the system for managing the various matrices for pricing, compatibility, eligibility, product promotions, and so on. It allows the user to define a matrix, its dimensions, and all of its rules. This new infrastructure allows the adjustment to be any value, not just a price amount.
Table 6 lists the entities in this ERD and their corresponding tables.
Table 6. Adjustment Group ERD Entities and Table
Entity Table
Adjustment Group S_ADJ_GROUP
Adjustment Group Dimension S_ADJ_GROUP_DIM
Product Compatibility Matrix Rule S_PRODCOMP_MTRX
Product Eligibility Matrix Rule S_PRODELIG_MTRX
Product Promotion Pricing Matrix Rule S_PROM_PMTRX
Standard Entitlement Pricing Matrix Rule S_STDENTL_PMTRX
Standard Product Pricing Matrix Rule S_STDPROD_PMTRX
Standard Training Pricing Matrix Rule S_STDTRNG_PMTRX
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 31
Figure 7. Adjustment Group
ST
AN
DA
RD
TR
AIN
ING
PR
ICIN
G M
AT
RIX
RU
LE
# M
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Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
32
Affiliations and Best TimesFigure 8 shows the Affiliations and Best Times ERD. This ERD illustrates how contacts and accounts can be affiliated with one another, and how best times can be stored. Contacts can have multiple account affiliations, and can store multiple types or roles and best times for each account affiliation. Contacts can have multiple addresses and can share address records with other contacts. Contacts can also have a primary address for each position that is on the team. Accounts can also have multiple addresses and can share address records with other accounts. Contacts and accounts can share address records. Best times are stored for each address for each contact. Best times are also stored for each account.
Table 7 lists the entities in this ERD and their corresponding tables.
Table 7. Affiliations and Best Times ERD Entities and Tables
Entity Table
Account Affiliation S_PARTY_PER
Address S_ADDR_PER
Address Usage S_CON_ADDR
Best Times (Account) S_BEST_CALL_HRS
Best Times (Account Affiliation) S_PARTY_PER_HRS
Best Times (Contact Address) S_CON_ADDR_HRS
Organization S_ORG_EXT, S_PARTY
Person S_CONTACT, S_PARTY
Person Position S_POSTN_CON
Position S_POSTN, S_PARTY
Type S_PARTY_PER_DTL
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 33
Figure 8. Affiliations and Best Times
CONTACT
TYPE
ACCOUNT AFFILIATION
PERSON POSITION
BEST TIMES (ACCOUNT AFFILIATION)
BEST TIMES (ACCOUNT)
BEST TIMES (CONTACT ADDRESS)
POSITION
ORGANIZATION
ADDRESS USAGE
ADDRESS
composed offor
composed of
for
for
located at
for
located at
located at
for
of
defined by
composed of
for
belong to
having
located at
for
composed of
for
belong to
having
belong to
having
Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
34
Agencies/AgentFigure 9 shows the Agencies/Agent ERD. This ERD illustrates how Siebel Financial Services supports generation of internal organization units (such as insurance agencies) that can use external organization units or agencies (such as insurance brokers) as well as individual agents to distribute their products. Each external organization unit agency or agent can be associated with details (such as licensing, appointments, commission contracts, and NASD registrations, and other selling agreements).
Table 8 lists the entities in this ERD and their corresponding tables.
Table 8. Agencies/Agent ERD Entities and Tables
Entity Table
Agency Line of Business S_AGNC_LCNSLOB
Agent Line of Business S_AGENT_LCNSLOB
Agent Detail S_AGENT_DETAIL
Agency Detail S_AGENCY_DETAIL
Contact S_CONTACT, S_PARTY
Organization Unit S_ORG_EXT, S_PARTY
Product Line S_PROD_LN
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 35
Figure 9. Agencies/Agent
PRODUCT LINE
AGENT DETAIL
CONTACT
AGENT
AGENT LINE OF BUSINESS
ORGANIZATION UNIT
INTERNAL
ORGANIZATION UNIT
EXTERNAL ORGANIZATION UNIT
AGENCY
AGENCY DETAIL
AGENCY LINE OF
BUSINESS
works for
employsfor
has
based on
for based on
for
for
has
contracted by
deals with
for
subject of
contracted by
deals with
for
subject of
Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
36
Asset ManagementFigure 10 shows the Asset Management ERD. This ERD illustrates how Siebel Business Applications track instances of assets. Moving counter-clockwise from the lower-right corner, the diagram shows how internal products can be made into assets and associated with an account or a contact to register ownership. Additional relationships between assets and accounts, contacts, and employees are illustrated in the upper-right corner. Additional information such as the related opportunities, the current business or personal address location of the asset, notes, and related assets are shown across the top of the diagram. The left side of the diagram shows the relationships with service requests, activities, and related part movements.
Table 9 lists the entities in this ERD and their corresponding tables.
Table 9. Asset Management ERD Entities and Tables
Entity Table
Activity S_EVT_ACT
Activity Part Movement S_ACTPART_MVMT
Asset Contact Relationship S_ASSET_CON
Asset Employee Relationship S_ASSET_EMP
Asset External Organization S_ASSET_ACCNT
Asset Feature S_ASSET_FEA
Asset Modification S_ASSET_TXN
Asset Relationship S_ASSET_REL
Business Address S_ADDR_PER
Competitive Metric S_CMPT_MTRC
Competitive Product Feature S_CMPT_PROD_FEA
Contact S_CONTACT, S_PARTY
Employee S_EMP_PER, S_CONTACT, S_PARTY
External Product S_PROD_EXT
Internal Product S_PROD_INT
Opportunity S_OPTY
Opportunity Asset S_OPTY_ASSET
Person S_CONTACT, S_PARTY
Personal Address S_ADDR_PER
Product Instance (Asset) S_ASSET
Service Request S_SRV_REQ
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 37
Figure 10. Asset Management
AC
TIV
ITY
PA
RT
MO
VE
ME
NT
AC
TIV
ITY
SE
RV
ICE
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EQ
UE
ST
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for
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subje
ct of
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orm
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subje
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for
pro
ble
ms w
ith
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ct of
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pro
ble
ms w
ith
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ct of
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p o
f
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y
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f
defined for
subje
ct of
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d a
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for
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ct of
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ssific
ation for
for
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ct of
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ation for
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ted b
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use o
f
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ed in
for
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ted w
ith
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wned b
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ow
ner
of
curr
ently o
wned b
y
ow
ner
of
curr
ently p
ossessed b
y
possessor
of
a c
om
ponent of
an a
ssem
bly
of
insta
nce o
f
made into
child
of
pare
nt
of
pro
duced b
y
vendor
of
to
associa
ted w
ith
of
subje
ct of
to
associa
ted w
ith
of
subje
ct of
of
subje
ct of
to associa
ted w
ith
of
associa
ted w
ith
use o
f
involv
ed in
for
modifie
d b
y
of
initia
tor
of
Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
38
AuctionFigure 11 shows the Auction ERD. This ERD illustrates how the Siebel Data Model represents the auctioning of goods or services to bidders. An auction item may be a stand-alone offering, or may be a specific instance of an offering of a quantity of product or of a particular asset for sale. An auction item must be listed by a corporate or individual user, but that user may be either internal to or external to the Siebel-owning company. Auction items are displayed to bidders through one or more categories in a catalog. Fulfillment of an auction item to the winning bidders may be tracked through one or more order items. Finally, users may set up watched items, may define alerts, and may rate fellow listers or bidders.
Table 10 lists the entities in this ERD and their corresponding tables.
Table 10. Auction ERD Entities and Tables
Entity Table
Asset S_ASSET
Auction Alert Definition S_AUC_ALRT_DEF
Auction Item S_AUC_ITEM
Auction Item Bid S_AUC_BID
Auction Item Promotion S_AUC_ITM_PROMO
Auction Item Watch S_AUC_WATCH
Auction Lister/Bidder Rating S_AUC_RATING
Catalog S_CTLG
Catalog Category S_CTLG_CAT
Catalog Category Item S_CTLG_CAT_PROD, S_CTLGCAT_ASSET, S_CTLG_CAT_AUC
Order S_ORDER
Order Item S_ORDER_ITEM
Party S_PARTY
Person S_CONTACT
Product S_PROD_INT
Triggered Auction Alert Item S_AUC_ALRT
User S_USER, S_CONTACT, S_PARTY
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 39
Figure 11. Auction
OR
DE
R
AU
CT
ION
LIS
TE
R/B
IDD
ER
R
AT
ING
TR
IGG
ER
ED
AU
CT
ION
ITE
M A
LER
T
OR
DE
R IT
EM
PA
RT
Y OT
HE
R P
AR
TY
PE
RS
ON
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HE
R P
ER
SO
NU
SE
R
CA
TA
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PR
OD
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T
AS
SE
T
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TA
LOG
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TE
GO
RY
ITE
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AT
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G C
AT
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OR
Y
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CT
ION
ITE
M W
AT
CH
AU
CT
ION
ITE
M
PR
OM
OT
ION
AU
CT
ION
ALE
RT
D
EF
INIT
ION
AU
CT
ION
ITE
M B
ID
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CT
ION
ITE
M
crea
ted
by
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tor
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pose
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le to
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f
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g of
subj
ect o
f
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e by
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of
plac
ed b
y
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er o
f
liste
d by
liste
r of
for
subj
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f for
subj
ect o
f
for
crea
tor
of
for
aler
ted
by
crea
ted
from
gene
sis
of
for
feat
ured
in
repr
esen
ted
by
disp
laye
d as
repr
esen
ted
by
disp
laye
d as
crea
ted
from
repr
esen
ted
as
acce
ssed
vi
a
owne
r of
for
owne
r of
pric
ing
mec
hani
sm
for
pric
ed b
y
pric
ing
mec
hani
smfo
r
pric
ed b
y
fulfi
llmen
t of fu
lfille
d as
for
subj
ect o
f
Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
40
Auto Email Response GeneratorFigure 12 shows the Auto Email Response Generator ERD. This ERD illustrates the data model for the automatic generation of a response to an inbound communication. Incoming messages (inbound communications) are compared against a database of previously categorized messages to categorize them in one or more categories. The categories are associated with predefined template communication responses, used to generate a default response to each category of message. A notification mechanism can be defined to alert a person whenever the usage of a category or template exceeds a predefined limit.
Table 11 lists the entities in this ERD and their corresponding tables.
Table 11. Auto Email Response Generator ERD Entities and Tables
Entity Table
Activity S_EVT_ACT
Catalog S_CTLG
Catalog Category S_CTLG_CAT
Category Usage Notification S_COMM_CTG_NTFY
Communication Template Usage Notification S_COMMTMPL_NTFY
Person S_CONTACT, S_PARTY
Problem Resolution Document S_RESITEM
Template Communication Response S_DMND_CRTN_PRG
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 41
Figure 12. Auto Email Response Generator
TE
MP
LA
TE
CO
MM
UN
ICA
TIO
N R
ES
PO
NS
E
PR
OB
LE
M
RE
SO
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N
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ME
NT
AC
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ITY
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TB
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ND
RE
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ON
SE
INB
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ND
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UN
ICA
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AT
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OR
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RS
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MP
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N
OT
IFIC
AT
ION
CA
TE
GO
RY
U
SA
GE
N
OT
IFIC
AT
ION
for
usage o
f
subje
ct of
cate
gorized w
ithin
cla
ssific
ation for
cla
ssific
ation o
f
defa
ult r
esponse for
cate
gorized u
nder cla
ssific
ation for
part
of
made u
p o
f
part
of
made u
p
to n
otify
targ
et of
to n
otify
targ
et of
for
usage o
f subje
ct of
Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
42
Automotive RetailFigure 13 shows the Automotive Retail ERD. This ERD illustrates the Automotive retail process at dealerships. Sales goals are defined for every sales representative as well as the dealership for a period (month, quarter, and so on.). These goals are for new and used vehicles or a fleet of vehicles. The sales process could comprise several steps and an opportunity to sell a vehicle may involve some of these sales steps. The sales steps taken by every sales representative are aggregated for the period to determine the effectiveness of each sales step.
Table 12 lists the entities in this ERD and their corresponding tables.
Table 12. Automotive Retail ERD Entities and Tables
Entity Table
Activity S_EVT_ACT
Asset S_ASSET
Employee S_EMP_PER, S_CONTACT, S_USER
Employee Budget/Forecast S_AT_PER_FCST
Opportunity S_OPTY, S_OPTY_ATX
Opportunity Sales Step S_OPTY_SLS_STEP
Organization S_ORG_EXT, S_BU
Period S_PERIOD
Person S_CONTACT, S_CONTACT_ATX, S_CONTACT_BU
Sales Step S_SALES_STEP
Sales Step Goal S_FCST_SLS_STEP
Showroom Log Entry S_COMM_LOG
Store Budget/Forecast S_AT_ORG_FCST
Vehicle S_ASSET, S_ASSET_ATX
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 43
Figure 13. Automotive Retail
SA
LE
S S
TE
P
GO
AL
PO
SIT
ION
PE
RS
ON
OT
HE
R
PE
RS
ON
EM
PL
OY
EE
OP
PO
RT
UN
ITY
SA
LE
S S
TE
P
AS
SE
T
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HE
R A
SS
ET
VE
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LE
AC
TIV
ITY
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E B
UD
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OR
EC
AS
T
SH
OW
RO
OM
LO
G
EN
TR
Y
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LE
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TE
P
PE
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D
OR
GA
NIZ
AT
ION
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HE
R
OR
GA
NIZ
AT
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DE
AL
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/PA
RT
NE
R
OP
PO
RT
UN
ITY
EM
PL
OY
EE
BU
DG
ET
/FO
RE
CA
ST
in c
ont
ext
of
subj
ect
of
inst
anc
e o
f
use
d by
of
has
ow
ner
of
ow
ned
by
resp
ons
ible
for
hand
led
by
on
invo
lve
r o
fha
s tr
ade
-in
of
tra
ded
in
for
sour
ce o
fof
for
for
subj
ect
of
of
use
d in
ow
ner
of
ass
igne
d to
pre
sent
ed
in
pre
sent
ed
visi
ble
to
visi
bilit
y o
f
of
has
for
in
set
by
set
defin
ed
for
subj
ect
of
defin
ed
for
subj
ect
of
ass
igne
d to
ow
ner
of
subm
itte
d by
subm
itte
r o
f
resp
ons
ible
fo
r
resp
ons
ibili
ty o
f
for
set
up
Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
44
Benefit Case ManagementThis ERD (shown in Figure 14) illustrates how Benefit Case Management supports benefits determination and case-information verification, specifically:
■ Eligibility Determination. Provides the capability to develop benefits plans that allow caseworkers to make eligibility changes in program rules that impact benefit disbursement while reducing the number of overpayments. The feature provides the ability to submit individual or household profiles to a rules engine for eligibility determination.
The ERD shows that a Benefit Plan consists of Benefit Plan Items associated to Recipient and provided by a Provider. A Benefit Plan belongs to a Case and a Case may have a Change of Circumstance which may or may not be associated to a Benefit Plan.
■ Supporting Tasks. Helps a caseworker verify information during the intake process, where the caseworker uses the Public Sector application to document that the information was verified, how verification was accomplished and who verified the information. The caseworker performing quality assurance is presented with cases based upon random selection, queued, or high-risk profiles. The feature is also useful when a quality assurance worker reviews selected cases by following a template which provides a list of items that must be checked off to ensure uniformity in the review process.
As the ERD shows, a Case Verification Template is associated to a Case and may consist of one or more Case Verification Items. The Case Verification Template Items may be associated to a submitter and a verifier. This feature can also help a quality-assurance worker review cases following a checklist for adherence to standards and ensuring that each case in reviewed in the same way.
Table 13 lists the entities in this ERD and their corresponding tables
Table 13. Benefit Case Management ERD Entities and Tables
Entity Table
Account S_PARTY, S_ORG_EXT
Activity S_EVT_ACT
Admin Verification Template S_TMPL_PLANITEM
Admin Verification Template Item S_ASSESS_ATTRIB
Benefit Plan S_CASE_BNFTPLAN
Benefit Plan Item S_BNFT_PLAN_ITM
Benefit Plan Item Payment S_BNFPLNITM_PAY
Case S_CASE
Case Verification Item S_ASSESS_ATTRIB
Case Verification Template S_TMPL_PLANITEM
Change of Circumstance S_CASE_CHGOFCCM
Contact S_PARTY, S_CONTACT
Quality Assurance Items S_ASSESS_ATTRIB
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 45
Quality Assurance Template S_TMPL_PLANITEM
User S_PARTY, S_CONTACT, S_USER
Table 13. Benefit Case Management ERD Entities and Tables
Entity Table
Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
46
Figure 14. Benefit Case Management
Title
: P
S B
enefit C
ase M
anagem
ent
Auth
or
: O
racle
, C
onfidential
QU
AL
ITY
A
SS
UR
AN
CE
IT
EM
S
QU
AL
ITY
A
SS
UR
AN
CE
T
EM
PL
AT
E
US
ER
CA
SE
V
ER
IFIC
AT
ION
IT
EM
CA
SE
V
ER
IFIC
AT
ION
T
EM
PL
AT
E
AC
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ITY
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AC
T
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UN
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NE
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ITE
M
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f
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itte
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y
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itte
r o
f
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s
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lon
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o
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s
for
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s
ve
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ve
rifie
r o
f
for
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s
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ive
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vid
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ym
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Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 47
BrickFigure 15 shows the Brick ERD. This ERD illustrates how region (brick and mini brick) is used in Siebel Life Sciences. Area can be associated with multiple positions. Area is defined at the address level for organizations and at the contact level. Area is tracked for activities. Syndicated data is also available at the area level.
Table 14 lists the entities in this ERD and their corresponding tables.
Table 14. Brick ERD Entities and Tables
Entity Table
Activity S_EVT_ACT
Account Address S_CON_ADDR
Address S_ADDR_PER
Contact S_CONTACT, S_PARTY
Organization S_ORG_EXT, S_PARTY
Position S_POSTN
Region S_REGION
Syndicated Data S_SYND_DATA
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48
Figure 15. Brick
PO
SIT
ION
AC
CO
UN
T A
DD
RE
SS
CO
NT
AC
TA
CT
IVIT
Y
OR
GA
NIZ
AT
ION
AD
DR
ES
S
SY
ND
ICA
TE
D D
AT
A
RE
GIO
N
BR
ICK
OT
HE
R R
EG
ION
hold
ers
of
held
by
ass
igne
d to
loca
ted
atfo
r
assi
gned
to
defin
ed b
y
for
pare
nt o
f
child
of
pare
nt o
f
child
of
for
loca
ted
at
for
subj
ect o
f
for
sour
ce o
f
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 49
CG Promotion Planning Figure 16 shows the CG Promotion Planning ERD. This ERD illustrates how Siebel Business Applications support the funding of trade promotions in channel management and the Consumer Goods (CG) industry. Marketing development funds (MDFs) are defined for an account, for a product line or product category, and for an accounting period. An MDF can be a fixed sum of money, an accrual fund, or a mixture of the two. The value of the accrual fund is typically determined based on an accrual rate multiplied by either the number of units sold, or the revenue in a given period from one or more specific products that are representative of the product line or category of the fund. Planned expenses for the various tactics involved in the planning and execution of product promotions can be allocated to one or more MDFs. Allocations that have not yet been approved are considered fund requests. One or more such MDF allocations may be covered by a single payment to the partner account.
Advanced Planning is a feature designed to address the process used by CG organizations to plan sales volume and sales revenue at key accounts. Advanced Planning is part of a broader process called Trade Marketing. Trade Marketing includes planning, executing, and analyzing sales.
Table 15 lists the entities in this ERD and their corresponding tables.
Table 15. CG Promotion Planning ERD Entities and Tables
Entity Table
Account S_ORG_EXT, S_PARTY
Authorized Product S_ORG_PROD
Fund Allocation S_MDF_ALLOC
Marketing Development Fund S_MDF
Marketing Event or Activity S_SRC
MDF Accrual S_MDF_ACCRUAL
Payment S_SRC_PAYMENT
Period S_PERIOD
Person S_CONTACT, S_PARTY
Position S_POSTN, S_PARTY
Price List S_PRI_LST
Price List Item S_PRI_LST_ITEM
Product Internal S_PROD_INT
Product Line S_PROD_LN
Product Structure S_PROD_REL or S_PROD_ITEM
Promotion Plan S_SRC
Promotion S_SRC
Promotion Account S_SRC
Siebel Data Model Reference for Industry Applications Version 8.1
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50
Promotion Product S_SRC
Promotion Category S_SRC
Promotion Account Product S_SRC
Table 15. CG Promotion Planning ERD Entities and Tables
Entity Table
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 51
Figure 16. CG Promotion Planning
MA
RK
ET
ING
EV
EN
T O
R A
CT
IVIT
Y
PR
OM
OT
ION
PL
AN
PR
OM
OT
ION
AC
CO
UN
T P
RO
DU
CT
PR
OM
OT
ION
AC
CO
UN
T
PR
OM
OT
ION
OT
HE
R M
AR
KE
TIN
G E
VE
NT
OR
A
CT
IVIT
Y
PR
OM
OT
ION
PR
OD
UC
T
PR
OM
OT
ION
CA
TE
GO
RY
PA
YM
EN
T
OT
HE
R P
AY
ME
NT
PR
OM
OT
ION
PA
YM
EN
T
PE
RS
ON
EM
PL
OY
EE
/ A
GE
NT
OT
HE
R P
ER
SO
NP
OS
ITIO
N
AC
CO
UN
T
PR
OD
UC
T L
INE
AU
TH
OR
IZE
D
PR
OD
UC
T
MD
F A
CC
RU
AL
PR
ICE
LIS
T I
TE
M
FU
ND
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LL
OC
AT
ION
PR
ICE
LIS
T
PR
OD
UC
T
ST
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CT
UR
E
MA
RK
ET
ING
D
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EL
OP
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NT
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ED
FU
ND
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ND
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ER
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le f
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ted
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ject
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Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
52
Clinical Study ManagementFigure 17 shows the Clinical Study Management ERD. This ERD illustrates how clinical trials are managed. Each clinical trial starts with a protocol for a specific compound (product). Each protocol is conducted by sites and managed by site personnel. A protocol can have many versions and multiple protocols can roll up to a single program. Protocols can also roll up to regions. Subjects are screened and enrolled at protocol sites for specific protocol versions. Protocol sites are paid, based on the activities they complete. Visits and activities are generated for subjects based on templates defined for the protocol. The Clinical Research Associates perform site initiation activities for protocol sites and submit periodic trip reports. A protocol can also be associated with one or more projects. For a complete layout of projects, refer to “Professional Services” on page 197.
Table 16 lists the entities in this ERD and their corresponding tables.
Table 16. Clinical Study Management ERD Entities and Tables
Entity Table
Account S_ORG_EXT, S_PARTY
Activity S_EVT_ACT
Address S_ADDR_PER
Affiliation S_PTCL_ST_CON_LS
Application S_CL_PGM_APP_LS
Clinical Payment S_SRC_PAYMENT
Contact S_CONTACT, S_PARTY
Design S_CL_DSGN_LS
Position S_POSTN
Product S_PROD_INT
Program S_CL_PGM_LS
Project S_PROJ
Project Subcontractor S_PROG_ORG
Project Subcontractor Contact S_PROJ_ORG_CON
Protocol S_CL_PTCL_LS
Protocol Site S_PTCL_SITE_LS
Subject S_CL_SUBJ_LS
Subject Status S_CL_SUBJ_ST_LS
Subject Template S_SUBJ_TMPL_LS
Template Version S_SBJTMP_VER_LS
Template Visit S_TMPL_PLANITEM
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 53
Trip Report S_EVT_ACT
Visit S_EVT_ACT
Table 16. Clinical Study Management ERD Entities and Tables
Entity Table
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54
Figure 17. Clinical Study Management
Title
: C
linic
al S
tud
y M
an
ag
em
en
tA
uth
or
: O
racle
, C
on
fid
en
tia
l PR
OJE
CT
S
UB
CO
NT
RA
CT
OR
PR
OJE
CT
S
UB
CO
NT
AC
TO
RC
ON
TA
CT
PR
OJE
CT
AC
CO
UN
T
CO
NT
AC
T
AP
PL
ICA
TIO
N
AF
FIL
IAT
ION
AD
DR
ES
S
SU
BJE
CT
S
TA
TU
S
TE
MP
LA
TE
VE
RS
ION
PR
OD
UC
T
DE
SIG
N
SU
BJE
CT
T
EM
PL
AT
E
TE
MP
LA
TE
V
ISIT
SU
BJE
CTC
LIN
ICA
L
PA
YM
EN
T
AC
TIV
ITY
TR
IP
RE
PO
RT
VIS
IT
PO
SIT
ION
PR
OG
RA
M
PR
OT
OC
OL
RE
GIO
N
PR
OT
OC
OL
SIT
E
de
fin
ed
su
bje
ct
of
use
d b
y
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g
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plie
dto
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vin
g
be
lon
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o
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art
ne
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f
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ct
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vin
g
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lon
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cia
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on
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cte
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ilia
ted
to
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ted
at
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ary
in
ve
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ato
rh
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g
for
ha
vin
g
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vin
g
co
mp
ose
d o
f
for
asso
cia
ted
with
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de
fo
r
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bje
ct
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de
by
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lve
d in
so
urc
e o
f
co
mp
ose
d o
f
for
so
urc
e o
f
pa
rtic
ipa
nt
at
for
recip
ien
t o
f
pa
id t
o
co
mp
ose
d o
ffo
r
tea
m c
om
po
se
d o
f
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m m
em
be
rs o
f
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m m
em
be
rs o
f
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vin
g t
ea
m o
f
for p
art
icip
atin
g in
pa
rtic
ipa
nt
of
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nd
ucte
d a
t
ge
ne
rato
r o
fg
en
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vin
g
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y
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nsis
tin
g o
f
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 55
Communications, Media, and Energy AccountFigure 18 shows the Communications, Media, and Energy (CME) Account ERD. This ERD illustrates how complex hierarchies of accounts are maintained in Siebel Communications and Siebel Energy. Profiles are the way an account is further described. Addresses are associated with contacts and accounts. Addresses are unique in the database. Trouble tickets (service requests) and activities can be associated at the accounts level.
Table 17 lists the entities in this ERD and their corresponding tables.
Table 17. CME Account ERD Entities and Tables
Entity Table
Account S_ORG_EXT
Activity S_EVT_ACT
Address S_ADDR_PER
Billing Profile S_INV_PROF
Contact S_CONTACT, S_PARTY
Exemption Profile S_SUBSIDY
Financial Profile S_FINAN_PROF
Trouble Ticket S_SRV_REQ
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56
Figure 18. Communications, Media, and Energy Account
BILLING PROFILE
STATEMENT
INVOICE
EXEMPTION PROFILE
FINANCIAL PROFILE
ACCOUNT
CUSTOMER ACCT
PREMISE ACCT
BILLING ACCT
SERVICE ACCT
ACTIVITY
TROUBLE TICKET
CONTACT
ADDRESSPREMISE
SERVICE ADDR
located at
for
child of
parent of
for associated with
located at
for
fordescribed by
mailed to
for for
associated with
associated with
for
has
associated with
associated with
tracked by
for problems with
tracked by
for
described by
described byfor
part of
made up of
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 57
CME AgreementFigure 19 shows the CME Agreement ERD. This ERD illustrates how an agreement is managed in Siebel Business applications. An agreement can be associated with many accounts. An agreement has terms and entitlements associated with it. An agreement covers service instances and products through the account with which it is associated.
Table 18 lists the entities in this ERD and their corresponding tables.
Table 18. CME Agreement ERD Entities and Tables
Entity Table
Accounts S_ORG_EXT, S_PARTY
Agreement S_DOC_AGREE
Agreement Note S_NOTE_AGR_CUT
Agreement Terms S_AGREE_TERMS
Event Activity S_EVT_ACT
Parameter S_QUOTE_ITEM_XA
Quote S_DOC_QUOTE
Quote Item S_QUOTE_ITEM
Solution Set S_QUOTE_ITEM
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58
Figure 19. CME Agreement
Title
: C
ME
AG
RE
EM
EN
TS
Auth
or
: O
racl
e.
Confidential
QU
OT
E IT
EM
QU
OT
E
EV
EN
T A
CT
IVIT
YA
GR
EE
ME
NT
N
OT
E
AG
RE
EM
EN
T
TE
RM
S
AG
RE
EM
EN
T
AC
CO
UN
TS
be
lon
gs t
o
ha
s
ch
ild o
f
pa
ren
t o
f
ha
s a
asso
cia
ted
with
co
nsis
ts o
f
pa
rt o
f
asso
cia
ted
with
tra
cke
d
by
asso
cia
ted
w
ith
for
for
su
bje
ct
of
ch
ild o
f
pa
ren
t o
f
bo
un
d b
y
go
ve
rns
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 59
CME AlertFigure 20 shows the CME Alert ERD. This ERD illustrates how the alerts (credit and fraud) are managed. A fraud alert is associated with an account. Profile attributes provide more information about the fraud threshold for an account. A credit alert is related to an account and a statement. Activities can be performed on both these alerts.
Table 19 lists the entities in this ERD and their corresponding tables.
Table 19. CME Alert ERD Entities and Tables
Entity Table
Account S_ORG_EXT, S_PARTY
Activity S_EVT_ACT
Alert Attachment S_ALERT_ATT_CUT
Alerts S_ALERT_CUT
Asset S_ASSET
Bill Transactions S_BILL_MAINT
Energy Consumption S_USAGE
Fraud Profile S_FRD_PROF_CUT
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60
Figure 20. CME Alert
Title
: C
ME
Ale
rtA
uth
or
: O
racle
, C
onfidential
AC
TIV
ITY
AS
SE
T ME
TE
R
EQ
UIP
ME
NT
OT
HE
R
EN
ER
GY
CO
NS
UM
PT
ION
US
AG
E
BIL
L
AC
CO
UN
T
ALE
RT
AT
TA
CH
ME
NT
INV
OIC
E L
INE
IT
EM
S
ALE
RT
FR
AU
D P
RO
FIL
E
pa
rt o
f
ma
de
up
of
for
descri
bed b
y
subje
ct
for
for c
onsis
ts
subje
ct of
on
for
attached to
genera
tes
for
for
associa
ted w
ith
for
attached to
genera
ted b
y
has
child o
fpare
nt of
child o
f
pare
nt of
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 61
CME Energy Products, Service, and UsageFigure 21 shows the CME Energy Products, Service and Usage ERD. This ERD illustrates how products and services in use, inactive, or planned are associated with, tracked, and maintained by account. Assets are instances of internal products with the Siebel products catalog and can represent equipment, services designated by the administrator. Services are represented as assets that consist of specific commodities or energy service with corresponding rates or prices (for example, commercial electric service with rate CE5). Each of these services can be further associated with one or multiple meters. After a service has been established as an asset with corresponding rate and meter detail, the utility consumption is recorded for each period, and an invoice is generated.
Table 20 lists the entities in this ERD and their corresponding tables.
Table 20. CME Energy Products, Service, and Usage ERD Entities and Tables
Entity Table
Account S_ORG_EXT, S_PARTY
Address S_ADDR_PER
Asset S_ASSET
External Product Presence S_ORG_PRDEXT
Invoice S_INVOICE
Invoice Adjustment S_INVOICE_ADJ
Invoice Item S_INVOICE_ITEM
Payment S_SRC_PAYMENT
Period S_PERIOD
Product: External S_PROD_EXT
Product: Internal S_PROD_INT
Service Instance S_ASSET
Usage S_USAGE
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62
Figure 21. CME Energy Products, Service, and Usage
Title
: C
ME
Energ
y P
roducts
, S
erv
ices,
and U
sage
Auth
or
: O
racle
, C
onfidential
US
AG
EIN
VO
ICE
AD
JU
ST
ME
NT
PA
YM
EN
T
INV
OIC
E IT
EM
INV
OIC
E
SE
RV
ICE
IN
ST
AN
CE
PR
OD
UC
T
EX
TE
RN
AL P
RO
DU
CT
INT
ER
NA
L P
RO
DU
CT
AC
CO
UN
T
BIL
LIN
GC
US
TO
ME
RS
ER
VIC
E
PE
RIO
D
AS
SE
T
ME
TE
R
OT
HE
R
EQ
UIP
ME
NT
EX
TE
RN
AL P
RO
DU
CT
P
RE
SE
NC
E
for
subje
ct
of
associa
ted
with
for
for
record
ed
in
for
record
ed
in
record
ed
for
dis
pla
yer
of
used
by
consum
er
of
for
subje
ct
of
for
subje
ct
of
line ite
m o
f
made
of
subje
ct
of
for
made b
y
responsib
le f
or
serv
ice
at
of
made u
p o
f
is a
is m
ade into
of
subje
ct
of
at
subje
ct
of
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 63
CME Order ManagementFigure 22 shows the CME Order Management ERD. This ERD illustrates order management. Companies provide products and services to their customers over an extended period of time. Quotes and orders are used to capture the changes to a customer's installed services. The cycle starts when a customer requests the initial installation of a product or service in the form of a quote. The quote is converted to an order and that order is provisioned. At that time, the products and services described in the order are converted into assets associated with the customer's account. Subsequent changes to the configuration, disconnect instructions, or additions to the installed assets are captured in further quotes and orders.
Table 21 lists the entities in this ERD and their corresponding tables.
Table 21. CME Order Management ERD Entities and Tables
Entity Table
Account S_ORG_EXT, S_PARTY
Asset S_ASSET
Asset Attribute S_ASSET_XA
Order S_ORDER
Order Item S_ORDER_ITEM
Order Item Attribute S_ORDER_ITEM_XA
Product or Service S_PROD_INT
Quote S_DOC_QUOTE
Quote Item S_QUOTE_ITEM
Quote Item Attribute S_QUOTE_ITEM_XA
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Logical Model ■ Entity Relationship Diagrams and Descriptions
64
Figure 22. CME Order Management
Titl
e : C
ME
Ord
er M
anag
emen
tA
utho
r : O
racl
e, C
onfid
entia
l
AC
CO
UN
T
OT
HE
R
AC
CO
UN
T
SE
RV
ICE
AC
CO
UN
T
BIL
LIN
G A
CC
OU
NT
QU
OT
EO
RD
ER
QU
OT
E IT
EM
OR
DE
R IT
EM
AS
SE
T
OR
DE
R IT
EM
AT
TR
IBU
TE
AS
SE
T A
TT
RIB
UT
EQ
UO
TE
ITE
M A
TT
RIB
UT
E
PR
OD
UC
T O
R S
ER
VIC
E
an in
stan
ce o
f
mad
e in
to
part
of
com
pose
d of
part
of
com
pose
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Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 65
Commercial Banking Figure 23 shows the Commercial Banking ERD. This ERD illustrates how Siebel Financial Services supports generation of a commercial loan (or facility) application by portfolio type. Each application is associated with many organizations as borrowers or lenders. The application tracks the collateral, policies, prices of a facility, and documents used in the application process, for example, trailing documents and attachments. An application has to undergo several stages of approvals before it is finally approved to become a financial account.
Table 22 lists the entities in this ERD and their corresponding tables.
Table 22. Commercial Banking ERD Entities and Tables
Entity Table
Activity S_EVT_ACT
Approval S_FN_APPR
Attachment S_OPTY_ATT
Borrower S_OPTY_ORG
Collateral S_FN_OFFR_COLT
Correspondence S_EVT_FUL_REQ
Employee S_EMP_PER, S_CONTACT, S_PARTY
Exception S_OPTY_ORG_FNXM
Facility S_REVN
Facility Detail S_OPTY_PROD_FNXM
Facility Organization S_OPTYPRD_ORG
Fee S_FN_OFFR_FEE
Financial Account S_ASSET
Note S_NOTE_OPTY
Opportunity S_OPTY
Opportunity Detail S_OPTY_DTL
Organization S_ORG_EXT, S_PARTY
Person S_CONTACT, S_PARTY
Portfolio Type S_MKT_SEG
Product S_PROD_INT
Rating S_OPTY_ORG_FNXM
Revenue S_REVN
Revenue S_REVN
Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
66
Trailing Document S_OPTY_DOC
Underwriting Standard S_MKT_SEG_VAL
Table 22. Commercial Banking ERD Entities and Tables
Entity Table
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 67
Figure 23. Commercial Banking
Title
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Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
68
Commercial Insurance Figure 24 shows the Commercial Insurance ERD. This ERD illustrates how Siebel Financial Services supports generation of group classes of insured items covered by an insurance policy. An insured item can belong to either one or two group classes, including a region (such as a state), a location, (such as physical location), or a class (such as an employee). Insurance coverage can be associated with either one or two group classes.
Table 23 lists the entities in this ERD and their corresponding tables.
Table 23. Commercial Insurance ERD Entities and Tables
Entity Table
Asset S_ASSET
Contact S_CONTACT,S_PARTY
Group Class S_FN_GRP_CLASS
Insurance Coverage S_APPLD_CVRG
Insured Item S_INS_ITEM
Policy Contact S_ASSET_CON
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 69
Figure 24. Commercial Insurance
Title : Commercial InsuranceAuthor :Oracle, Confidential
INSURANCE COVERAGE
INSURED ITEM
ASSET
INSURANCE POLICY
GROUP CLASS
REGIONCLASS LOCATION
POLICY CONTACT
CONTACT
belongs to
covers
covers
covered by
part of
madeup of
insured as
for
associated with
subject of
part of
covers
for
subject of
of
subject of
for
associatedwith
Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
70
Community/Chat Discussion Figure 25 shows the Community/Chat Discussion ERD. This ERD illustrates how topics can be created for chat or discussion purposes for a disease state (market product). Users can register to chat for a particular topic or they can post messages to the discussion.
Table 24 lists the entities in this ERD and their corresponding tables.
Table 24. Community Chat/Discussion ERD Entities and Tables
Entity Table
Contact S_CONTACT, S_PARTY
Discussion Post S_MESG_BRD_LS
Product S_PROD_INT
Registration S_TOPIC_CON_LS
Topic S_TOPIC_LS
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 71
Figure 25. Community/Chat Discussion
Title : Community Chat/DiscussionAuthor : Oracle, Confidential
PRODUCTDISCUSSION POST
TOPIC
REGISTRATIONCONTACT
of
registered for
for
registration of
about
subject of
involving
posted to
for
subject of
authored by
author of
Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
72
Compensation Planning AdministrationFigure 26 shows the Compensation Planning Administration ERD. The administration activities of compensation planning involve setting up salary structures such as salary plan, salary grades, and job codes. In addition to salary structures, an organization sets up compensation budgets, compensation types such as merit increase, bonus, promotion, and stock options, planning periods, budget calculation and eligibility rules, guidelines and calculation of budget allocations for employees.
Table 25 lists the entities in this ERD and their corresponding tables.
Table 25. Compensation Planning Administration ERD Entities and Tables
Entity Table
Business Unit S_BU
Compensation Budget Definition S_CP_BDGT
Compensation Budget Item S_CP_BDGT_ITEM
Compensation Budget Item For Employee S_CP_BDGT_EMP
Compensation Cycle Planning Period S_CP_PD_BDGTITM
Compensation Guideline Definition S_CP_GDLN
Compensation Guideline Factor LOV
Compensation Guideline Set S_CP_GDLN_SET
Compensation Guideline Table S_CP_GDLN_TBL
Compensation Planning Period S_CP_PERIOD
Compensation Region S_CP_REGN
Compensation Type LOV
Compensation Valid Effectivity Date S_CP_EFF_DATE
Employee Eligibility S_APP_QUERY (PDQ)
Employee/Agent S_EMP_PER
Job Category LOV
Job Code S_JOB
Job Family S_JOB_FAMILY
Job Profile S_JOB_PRFL
Period S_PERIOD
Salary Grade S_SALARY_GRADE, S_SALPLAN_GRADE
Salary Plan S_SALARY_PLAN
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 73
Figure 26. Compensation Planning Administration
Title
: C
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Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
74
Compensation Planning ExecutionFigure 27 shows the Compensation Planning Execution ERD. In the execution phase of compensation planning, a workbook is created for each of the authorized managers with the list of employees who report to them. The manager goes through the planning process and decides on the merit, bonus, promotion, and stock option changes that he may grant to his employees. Authorized persons such as managers, or HR personnel approve the plans. Totals are maintained for each manager and organization.
Table 26 lists the entities in this ERD and their corresponding tables.
Table 26. Compensation Planning Execution ERD Entities and Tables
Entity Table
Business Unit S_BU
Compensation Budget Definition S_CP_BDGT
Compensation Budget Item S_CP_BDGT_ITEM
Compensation Budget Item For Employee S_CP_BDGT_EMP
Compensation Cycle Planning Period S_CP_PD_BDGTITM
Compensation Guideline Definition S_CP_GDLN
Compensation Guideline Set S_CP_GDLN_SET
Compensation Guideline Table S_CP_GDLN_TBL
Compensation Plan S_CP_PLAN
Compensation Plan Comments S_NOTE_CP_PLAN
Compensation Plan For Employee S_CP_PLAN_EMP
Compensation Plan Item Detail S_CP_PLNITM_DTL
Compensation Plan Item For Employee S_CP_PLAN_ITEM
Compensation Plan Total S_CP_PLNITM_TOT
Compensation Planning Period S_CP_PERIOD
Compensation Type LOV
Compensation Valid Effectivity Date S_CP_EFF_DATE
Plan Approval S_CP_APPROVAL
Proxy Access To Plan S_USER_PROXY
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 75
Figure 27. Compensation Planning Execution
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Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
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Competency Management SystemFigure 28 shows the Competency Management System ERD. An organization can define a set of competencies that employees can have or acquire over a period of time and an evaluation of employees' skill levels in those competencies, In addition, information about an employee's past work experience, merits, honors, professional memberships and education qualifications can be maintained. An organization can also define a list of courses and related skills which can be associated with an employee when they complete those courses.
Table 27 lists the entities in this ERD and their corresponding tables.
Table 27. Competency Management System ERD Entities and Tables
Entity Table
Career Path S_JOB_PRFL_TRNS
Competency, Competency Category, Root Competency Category
S_CMPTNCY
Educational Qualification S_PER_EDU_QUAL
Employee Competency S_EMP_CMPTNCY
Employee Competency Change S_EMP_CMPT_CHG
Employee/Agent S_EMP_PER
Honors And Awards S_PER_AWARD
Job Code S_JOB
Job Profile S_JOB_PROFILE, S_JOBPRFL_CMPT
Past Work Experience S_PER_WRK_EXP
Person S_USER, S_CONTACT
Professional Membership S_PER_PROF_MBR
Professional Qualification S_PER_PROF_CERT
Review Rating S_PERF_RATING
Review Rating Scale S_PERF_RTNG_SCL
Team Competency S_TEAM_CMPTNCY
Training Course S_PROD_INT_CRSE
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 77
Figure 28. Competency Management System
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Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
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Content ManagementFigure 29 shows the Content Management ERD. This ERD illustrates how the Siebel Data Model supports the process of creating and maintaining content through projects. A content project is made up of one or more content project items that represent an item of master data, such as a product definition or an item of literature. Each content project item is an instance of a content item type that is part of a content object. A content object is based on a business object and is published to the production system through an EAI integration object. A workflow process governs the flow of the items in a content project from conception through publication. Each item may be the responsibility of, reviewed by, or approved by one or more Positions.
Table 28 lists the entities in this ERD and their corresponding tables.
Table 28. Content Management ERD Entities and Tables
Entity Table
Content Item Type S_CONTENT_TYPE
Content Object S_CONTENT_OBJ
Content Project S_CONTENT_PROJ
Content Project Item S_CONTENT_ITEM
Literature S_LIT
Person S_CONTACT, S_PARTY
Position S_POSTN, S_PARTY
Product S_PROD_INT
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Siebel Data Model Reference for Industry Applications Version 8.1 79
Figure 29. Content Management
Title
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Contract ConditionsFigure 30 shows the Contract Conditions ERD. This ERD illustrates the usage of templates to create agreements. An agreement could comprise one or more entitlements. A contracts administrator may define template entitlements, template benefits and template conditions in addition to template terms. Template benefits and conditions could be for a specific product or product line or product class or category. An entitlement could be created using the entitlement template and this would create the corresponding benefits and conditions based on the corresponding template benefits and conditions. The terms governing the agreement could be based on template terms.
Table 29 lists the entities in this ERD and their corresponding tables.
Table 29. Contract Conditions ERD Entities and Tables
Entity Table
Agreement S_DOC_AGREE
Benefit S_AGREE_BNFT
Category S_CTLG_CAT
Condition S_AGREE_COND
Condition Compliance S_AGR_COND_CMPL
Contract S_DOC_AGREE
Entitlement S_ENTLMNT
Entitlement Template S_ENTL_TMPL
Object Class S_VOD, S_VOD_VER
Product S_PROD_INT
Product Line S_PROD_LN
Template Benefit S_ENTL_BNFTTMPL
Template Condition S_ENTL_CONDTMPL
Template Term S_AGR_TERM_TMPL
Term S_AGR_TERM_DESC
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 81
Figure 30. Contract Conditions
Title
: C
ontr
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Lifecycle
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Auth
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ContractsFigure 31 shows the Contracts ERD. This ERD illustrates the significant entities related to general business contracts (quotes, orders, agreements, and others). A contract is an agreement between two parties, usually to deliver goods or services in exchange for payment. For example, a quote is an agreement between a company and a customer to guarantee a price for a particular set of items if acted on within a specified timeframe. The customer is usually an account, but may be a person. The party on the other side of the contract is an internal or partner organization (or business unit). A contract is composed of contract line items that specify the internal products, services, or assets to be covered under the terms of the contract.
Table 30 lists the entities in this ERD and their corresponding tables.
Table 30. Contracts ERD Entities and Tables
Entity Table
Account S_ORG_EXT, S_PARTY
Asset S_ASSET
Business Unit S_BU, S_ORG_EXT, S_PARTY
Contract S_DOC_AGREE, S_DOC_QUOTE, S_ORDER
Contract Line Item S_AGREE_ITEM, S_QUOTE_ITEM, S_ORDER_ITEM
Internal Product or Service S_PROD_INT
Payment Term S_PAYMENT_TERM
Person S_CONTACT, S_PARTY
Position S_POSTN, S_PARTY
Price List S_PRI_LST
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 83
Figure 31. Contracts
Title
: C
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Logical Model ■ Entity Relationship Diagrams and Descriptions
84
Data VisibilityThe main business entities represented (shown in Figure 32) in the Siebel Data Model fall into one of two super-types: Master Data Item or Customer Data Item. A Master Data Item represents data set up and administered by the company using Siebel Business Applications such as products, literature, and price Lists. Master Data Items are often categorized to make information more accessible. A user gains visibility to this data either through the person's association with a business unit (multiple organization visibility) or through the person's access to items in a catalog (access control). Access to items in a catalog is provided by making the category public, or by granting access to the category to one or more access groups. Each access group may be made up of smaller access groups and may be made up of one or more groups of users. Categories granted to a parent access group are automatically granted to all of its child access groups, but categories granted to a child are not granted to its parents.
A Customer Data Item represents transactional data collected during the normal course of doing business such as opportunities, quotes, orders, agreements, service requests, and activities. A user gains visibility to this data either through the person's association with a business unit (multiple organization visibility) or more commonly through a direct assignment of the person or the person's position to the item. A Customer Data Item is usually accessible to one business unit, but is occasionally accessible to two or more business units. Each business unit may be made up of smaller business units. A given type of customer data item is usually assigned to employees through position or directly to the employee, but rarely both. Managers can be granted access to customer data items assigned to their subordinates.
Table 31 lists the entities in this ERD and their corresponding tables.
Table 31. Data Visibility ERD Entities and Tables
Entity Table
Access Group S_PARTY
Account S_ORG_EXT
Activity S_EVT_ACT
Agreement S_DOC_AGREE
Business Unit S_BU, S_ORG_EXT, S_PARTY
Catalog S_CTLG
Category S_CTLG_CAT
Dynamic Account Hierarchy S_DYN_HRCHY
Dynamic Account Hierarchy Node S_DYN_HRCHY_REL
Employee/Agent S_EMP_PER, S_CONTACT, S_PARTY
Group S_PARTY
Internal/Partner Organization Unit S_ORG_EXT
Literature Item S_LIT
Opportunity S_OPTY
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 85
Order S_ORDER
Organization Unit S_ORG_EXT, S_PARTY
Party S_PARTY
Position S_POSTN, S_PARTY
Price List S_PRI_LST
Product S_PROD_INT
Quote S_DOC_QUOTE
Service Request S_SRV_REQ
Table 31. Data Visibility ERD Entities and Tables
Entity Table
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Logical Model ■ Entity Relationship Diagrams and Descriptions
86
Figure 32. Data Visibility
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Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 87
Dealer Sales and Service PromotionThis ERD (shown in Figure 33) illustrates how a call list may be created by searching on specific attributes of vehicle, person, sales history, or service history. A person may qualify to be on the call list by virtue of possessing a specific vehicle, having the car serviced with the dealership in the past (the next service may be due), and so on. The dealer may launch a campaign for sales or service specials and include one or more call lists to be targeted through the campaign.
Table 32 lists the entities in this ERD and their corresponding tables.
Table 32. Dealer Sales and Service Promotion ERD Entities and Tables
Entity Table
Call List S_CALL_LST
Call List Contact S_CALL_LST_CON
Call List Contact Vehicle S_C_LST_CON_AST
Campaign S_SRC
Campaign Call List S_CAMP_CALL_LST
Campaign Contact S_CAMP_CON
Campaign Contact Vehicle S_CAMP_CON_AST
Marketing Event or Activity S_SRC
Person S_CONTACT, S_CONTACT_ATX
Vehicle S_ASSET, S_ASSET_ATX
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88
Figure 33. Dealer Sales and Service Promotion
Title : eDealer Sales and Service Promotion
Author : Oracle, Confidential
CAMPIAGN CONTACT VEHICLE
CAMPAIGN CONTACT
VEHICLE
PERSON
MARKETING EVENT OR ACTIVITY
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Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 89
Document ID and Tax IDThis ERD (shown in Figure 34) illustrates how document identification numbers are generated and assigned to each user. Typically, document IDs are used to support a legal requirement to print unique numbers on legal documents, such as invoices and receipts. Governments provide specifications on the document ID formats, and these formats may be used to generate a document ID mask within the Siebel application. After the mask is created, it must be assigned to individual users who have the authority to use them. When the user prints from the handheld device, a unique sequence of numbers are printed onto each legal document defined with the document ID mask.
Table 33 lists the entities in this ERD and their corresponding tables.
Table 33. Document ID and Tax ID ERD Entities and Tables
Entity Table
Account S_ORG_EXT, S_PARTY
Authorized Product S_ORG_PROD
Document Mask Component S_DOC_NUM_SEG
Document Types S_DOC_NUM
Document Values S_DOC_NUM_VAL
Invoice S_INVOICE
Order S_ORDER
Order Item S_ORDER_ITEM
Price List S_PRI_LST
Price List Item S_PRI_LST_ITEM
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90
Figure 34. Document ID and Tax ID
Title : Document ID and Tax IDAuthor : Oracle, Confidential
ORDER ITEM
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PRICE LIST
ACCOUNT
ORDER
INVOICE
DOCUMENT MASKCOMPONENTS
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DOCUMENT TYPES
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Logical Model ■ Entity Relationship Diagrams and Descriptions
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Dun & Bradstreet IntegrationThis ERD (shown in Figure 35) illustrates how Siebel Business Applications integrate with Dun & Bradstreet Organization information. A D & B organization may be classified as doing business in one or more industries, may provide information about contacts at the organization and their management responsibilities. In addition, a D & B organization may indicate its direct parent organization, its ultimate domestic parent, and its ultimate global parent. A Siebel organization unit (for example, an account) can be related to its equivalent D & B organization and its associated parent organizations. Contact information from one or more D & B organizations can be used to create one or more call lists.
Table 34 lists the entities in this ERD and their corresponding tables.
Table 34. Dun & Bradstreet Integration ERD Entities and Tables
Entity Table
Call List S_CALL_LST
Call List D & B Organization S_DNB_ORG_LST
D & B Contact Responsibility S_DNB_CON_MRC
D & B Management Responsibility Type S_DNB_MRC
D & B Organization S_DNB_ORG
D & B Organization Industry Classification S_DNB_ORG_SIC
D & B Standard Industry Classification S_DNB_SIC
Industry S_INDUST
Organization Industry Classification S_ORG_INDUST
Organization Unit S_ORG_EXT, S_PARTY
Prospect S_PRSP_CONTACT
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Figure 35. Dun & Bradstreet Integration
Title
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Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 93
Employee KPIThis ERD (shown in Figure 36) illustrates that Key Performance Indicators (KPI) can be defined and associated with the objectives of an employee so that the employee and the manager of the employee manager can measure achievement or current values against the goals set in the objectives of the employee.
Table 35 lists the entities in this ERD and their corresponding tables.
Table 35. Employee KPI ERD Entities and Tables
Entity Table
BUSINESS UNIT S_BU
EMPLOYEE PERFORMANCE MEASUREMENT
S_EMP_PERF_MEAS
GROUP, ACCESS GROUP S_PARTY
KEY PERFORMANCE INDICATOR DEFINITION
S_KPI, S_KPI_AGRP
KPI VALUE FOR EMPLOYEE S_EMP_KPI
KPI VALUE FOR OBJECTIVE S_PERF_MITM_KPI
KPI VALUE HISTORY S_EMPKPI_SNPSHT
ORGANIZATION UNIT, DIVISION S_ORG_EXT
PERFORMANCE MEASUREMENT ITEM S_PERF_MEAS_ITM
PERSON, EMPLOYEE/AGENT, OTHER PERSON
S_CONTACT, S_EMP_PER, S_USER
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94
Figure 36. Employee KPI
Title : Employee KPIAuthor : Oracle, Confidential
KPI VALUE HISTORY
KPI VALUE FOR EMPLOYEE
KPI VALUE FOR OBJECTIVE
KEY PERFORMANCE INDICATOR DEFINITION
PARTY
GROUP
ACCESS GROUP
ORGANIZATION UNIT
DIVISION
OTHERPARTY
PERSON
OTHER PERSON
EMPLOYEE / AGENT
PERFORMANCE MEASUREMENT ITEM
EMPLOYEE PERFORMANCE MEASUREMENT
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Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 95
Event Tax AdministrationThis ERD (shown in Figure 37) illustrates how the Siebel Hospitality application supports tax and service charge calculation for invoices. An event is hosted at a property such as a hotel or convention center. Event functions and associated subfunctions are conducted in rooms at the property. A team of events managers and operations staff at the property work together to plan and execute the event. The event functions use assets that are specific instances of products at each property. Each product is associated with a category and subcategory. Both categories and subcategories are associated with charge codes. Each charge code is composed of taxes and service charges, which may be taxable. The taxes and service charges linked with the charge code apply to the product.
Table 36 lists the entities in this ERD and their corresponding tables.
Table 36. Event Tax Administration ERD Entities and Tables
Entity Table
Asset S_ASSET
Category S_CTLG_CAT
Charge Code S_EVT_CHRG_LST
Event/Function S_SRC
Event Location Room S_EVTLOC_ROOM
Position S_POSTN
Price List S_PRI_LST
Price List Item S_PRI_LST_ITM
Product S_PROD_INT
Property S_ORG_EXT, S_PARTY
Tax Code/Service Code S_PRI_LST
Team Member S_USER, S_PARTY
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Figure 37. Event Tax Administration
Title : Event- Tax Administration Author : Oracle, Confidential
TAX CODE/SERVICE CODE
SERVICE CODE
TAX CODE
EVENT/FUNCTION
FUNCTION
EVENT
EVENT LOCATION ROOM
TEAM MEMBER
POSITION
ASSET
PROPERTY
PRICE LISTPRICE LIST ITEM
CHARGE CODE
CATEGORYPRODUCT
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Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 97
Expense ReportsThis ERD (shown in Figure 38) illustrates how Siebel Business Applications track employee expense reports. Employees (for example, sales representatives, field service engineers, and professional services personnel) can track expense items incurred for business purposes. These expenses can be associated with an account, an opportunity, or a project, and may be related to an activity. Other employees or contacts involved in the expense can be associated with the expense. The expenses in a specified reporting period can then be reported on an expense report for reimbursement.
Table 37 lists the entities in this ERD and their corresponding tables.
Table 37. Expense Reports ERD Entities and Tables
Entity Table
Activity S_EVT_ACT
Employee S_EMP_PER, S_CONTACT, S_PARTY
Expense Item S_EXP_ITEM
Expense Item Type S_EXP_ITM_TYPE
Expense Report S_EXP_RPT
Expense Report Approval S_EXP_RPT_APPR
Opportunity S_OPTY
Organization Unit S_ORG_EXT, S_PARTY
Party S_PARTY
Person S_CONTACT, S_PARTY
Project S_PROJ
Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
98
Figure 38. Expense Reports
Title : Expense ReportsAuthor : Oracle, Confidential
PARTY
PERSON
EMPLOYEE /
AGENTOTHER PERSON
ORGANIZATION UNIT
INTERNAL ORGANIZATION /
PARTNER
OTHER
ORGANIZATION UNIT
ACTIVITY
EXPENSE REPORT
APPROVAL
PERIOD
PROJECT
OPPORTUNITY
EXPENSE REPORT
EXPENSE ITEM TYPE
EXPENSE ITEM
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the reporting period for
reported by
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reported on
composed
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made up of
part of
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 99
Field Service InventoryThis ERD (shown in Figure 39) illustrates how Siebel Business Applications track field service parts inventory. Parts may be tracked in inventory as serialized assets or as nonserialized quantities of products. An instance of product inventory defines a quantity of product in a given location with a given status and availability. Inventory quantities cannot be modified directly. Instead, they are modified through inventory transactions that reflect each movement of parts between locations, statuses, and availabilities. Inventory locations may be located at a third-party provider, as well as within the internal organization. They may also be related to other inventory locations for the purposes of replenishment or fulfillment.
Table 38 lists the entities in this ERD and their corresponding tables.
Table 38. Field Service Inventory ERD Entities and Tables
Entity Table
Address S_ADDR_PER
Asset S_ASSET
Business Unit S_BU, S_ORG_EXT, S_PARTY
Inventory Location S_INVLOC
Inventory Transaction S_INV_TXN
Organization Unit S_ORG_EXT, S_PARTY
Party S_PARTY
Person S_CONTACT, S_PARTY
Position S_POSTN, S_PARTY
Product Inventory S_PROD_INV
Product Inventory Category S_PROD_INV_CAT
Product Inventory Location S_PROD_INVLOC
Product or Service S_PROD_INT
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Logical Model ■ Entity Relationship Diagrams and Descriptions
100
Figure 39. Field Service Inventory
Title
: F
ield
Serv
ice Invento
ry
Au
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r :
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Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 101
Field Service SchedulerThis ERD (shown in Figure 40) illustrates how the Siebel Data Model supports the scheduling of employees to perform service activities within configured service regions. A service region corresponds to one or more ZIP codes or other geographical representation, but may only be associated with a single time zone. The service region defines a number of parameters, time duration maps, cost functions, and rule sets that constrain the scheduling of resources within the region. A given service request or activity is assigned to a service region and then to an employee, based on the employee's working hours and current schedule.
Table 39 lists the entities in this ERD and their corresponding tables.
Table 39. Field Service Scheduler ERD Entities and Tables
Entity Table
Address S_ADDR_PER
Employee S_EMP_PER, S_CONTACT, S_PARTY
Employee Exceptional Work Hours S_EMP_EXCPT_HRS
Scheduler Cost Function S_SCH_CSTFN
Scheduler Cost Function Variable S_SCH_CSTFN_VAR
Scheduler Parameter S_SCH_PARAM
Scheduler Parameter Set S_SCH_PARAM_SET
Scheduler Rule S_SCH_RULE
Scheduler Rule Node S_SCH_RULENODE
Scheduler Rule Set S_SCH_RLST
Scheduler Time Map S_SCH_TMMAP
Scheduler Time Map Duration S_SCH_TMMAP_DUR
Service Activity S_EVT_ACT
Service Region S_SRV_REGN
Service Request S_SRV_REQ
Timezone S_TIMEZONE
Work Shift S_SCHED_CAL
Work Shift Exception S_EXCPT_CAL
Work Shift Exception Hour S_EXCPT_CAL_HRS
Work Shift Hour S_SCHED_CAL_HRS
Zipcode S_ZIPCODE
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102
Financial AccountThis ERD (shown in Figure 41) illustrates how Siebel Financial Services supports tracking of financial accounts (instances of products or assets). A financial account can be owned by an organization, or a number of contacts. The owners can track the activities, service requests, balance history, and transactions on their accounts, as well as the balance of their external accounts using Siebel Financial Services. The manager can track the profitability of his customers through contact and account profitability.
Figure 40. Field Service Scheduler
Title : Field Service SchedulerAuthor : Oracle, Confidential
ZIPCODE
SERVICE REQUEST
SERVICE ACTIVITY
ADDRESS
SCHEDULER RULE NODE SCHEDULER RULESCHEDULER RULE SET
EMPLOYEE EXCEPTIONAL WORK HOURS
WORK SHIFT EXCEPTION HOUR
WORK SHIFT EXCEPTION TIMEZONE
EMPLOYEE
WORK SHIFT HOUR WORK SHIFT
SCHEDULER PARAMETER SET
SCHEDULER PARAMETER
SCHEDULER TIME MAP DURATION
SCHEDULER TIME MAP
SCHEDULER COSTFUNCTION VARIABLE
SCHEDULER COST FUNCTION
SERVICE REGION
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Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 103
Table 40 lists the entities in this ERD and their corresponding tables.
Table 40. Financial Account ERD Entities and Tables
Entity Table
Account Aggregation Service S_FN_AAG_SVC
Account Analysis S_FN_SRVC_TXN
Account Profitability S_ORG_PRFTBLTY
Activity S_EVT_ACT
Address S_ADDR_PER
Asset Relationship S_ASSET_REL
Assignment Group S_ASGN_GRP
Attachment S_ASSET_ATT
Authorization S_ASSETCON_AUTH
Balance History S_FN_ACCNT_BAL
Contact S_CONTACT, S_PARTY
Contact Profitability S_CON_PRFTBLTY
Fee S_FN_ACCNT_FEE
Financial Account S_ASSET
Financial Account Contact S_ASSET_CON
Financial Transaction S_FN_ACCNT_TXN
Note S_NOTE_ASSET
Organization Unit S_ORG_EXT, S_PARTY
Product S_PROD_INT
Schedule S_FN_ACCNT_SCHD
Service Request S_SRV_REQ
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Logical Model ■ Entity Relationship Diagrams and Descriptions
104
Figure 41. Financial Account
Title
: F
inancia
l A
ccount
Auth
or
: O
racl
e, C
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Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 105
Financial Account ApplicationThis ERD (shown in Figure 42) illustrates how Siebel Financial Services supports generation of a financial product (loan, mortgage, or similar) application by a consumer (contact) or an organization. The applicant is assessed based on incomes, expenses, assets, and liabilities. Fees and collateral are associated with the application, and when it is approved, it generates a financial account (asset).
Table 41 lists the entities in this ERD and their corresponding tables.
Table 41. Financial Account Application ERD Entities and Tables
Entity Table
Activity S_EVT_ACT
Address S_ADDR_PER, S_CON_ADDR
Application S_OPTY
Application Contact S_OPTY_CON
Application Product S_REVN
Assessment S_ASSESS
Assessment Value S_ASSESS_VAL
Asset Liab Contact S_FN_ASTLB_CON
Asset Liability S_FN_ASSET_LIAB
Collateral S_FN_OFFR_COLT
Contact S_CONTACT, S_PARTY
Credit Report S_FN_CRDT_RPT
Credit Report Item S_CRDT_RPT_ITEM
Fee S_FN_OFFR_FEE
Financial Account S_ASSET
Inc. Exp. Contact S_FN_INCEXP_CON
Income/Expense S_FN_INCM_EXP
Note S_NOTE_OPTY
Organization S_ORG_EXT, S_PARTY
Product S_PROD_INT
Quote S_DOC_QUOTE
Sales Stage S_STG
Trailing Document S_OPTY_DOC
Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
106
Figure 42. Financial Account Application
Titl
e : F
inan
cial
Acc
ount
App
licat
ion
Aut
hor
: O
racl
e,
Con
fiden
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CR
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Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 107
Financial InvestmentsThis ERD (shown in Figure 43) illustrates how Siebel Financial Services supports generation of financial investments and other relevant associations with organizations, financial accounts, holdings, distribution, and transactions. The major entities are depicted in the lower half of the diagram (security and external organization).
Table 42 lists the entities in this ERD and their corresponding tables.
Table 42. Financial Investments ERD Entities and Tables
Entity Table
Contact S_CONTACT,S_PARTY
Distribution S_FNSEC_DSTRBTN
External Organization S_ORG_EXT, S_PARTY
Earning S_FNSEC_ERNG
Financial Account S_ASSET
Holding S_FN_HLDNG
Industry S_INDUST
Literature S_LIT
Security S_PROD_INT
Transaction S_FN_ACCNT_TXN
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Logical Model ■ Entity Relationship Diagrams and Descriptions
108
Figure 43. Financial Investments
Title : Financial InvestmentsAuthor :Oracle, Confidential
DISTRIBUTION
LITERATURE TRANSACTIONHOLDING
CONTACT
FINANCIAL ACCOUNTEARNING
CAPITAL GAINS
DIVIDEND
SECURITY
STOCK FUND
INTERNAL EXTERNAL
BOND
INDUSTRY
EXTERNAL ORGANIZATION
PUBLIC COMPANY
INSTITUTIONALINVESTOR
FINANCIAL INSTITUTION
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for
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Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 109
Financial ProductsThis ERD (shown in Figure 44) illustrates how Siebel Financial Services supports generation of financial products and other relevant associations. Internal products, rates, fees, and product line information is also depicted. The major entities are depicted in the lower half of the diagram (Product Internal).
Table 43 lists the entities in this ERD and their corresponding tables.
Table 43. Financial Products ERD Entities and Tables
Entity Table
Benefit S_PROD_BNFT
Condition S_PROD_COND
Feature S_PROD_SPEC
Fee S_PROD_FEE
Product S_PROD_INT
Product Line S_PROD_LN
Rate S_PROD_RATE
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Logical Model ■ Entity Relationship Diagrams and Descriptions
110
Figure 44. Financial Products
Title : Financial ProductsAuthor :Oracle, Confidential
BENEFIT CONDITION
FEERATEFEATUREPRODUCT LINE
PRODUCT INTERNAL
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of
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contain
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part of
for
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Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 111
Financial Services EventsThis ERD (shown in Figure 45) illustrates how Siebel Financial Services supports generation of marketing events in a three-level hierarchy (parent events, sub events, and sessions). An event can be associated with many opportunities, product lines, regions, or industries. It has a list of registrants (contacts or organizations). Vendors, venues, and suppliers are tracked for the event in the organization entity. For persons, tracks the registration procedure and travel plans they might participate in to attend the event.
Table 44 lists the entities in this ERD and their corresponding tables.
Table 44. Financial Services Events ERD Entities and Tables
Entity Table
Activity S_EVT_ACT
Equipment Requirement S_ORDER_ITEM, S_QUOTE_ITEM
Event Cost S_SRC_COST
Event Location S_ORG_EXT, S_PARTY
Event Registration S_SRC_EVT_REG
Event Session S_SRC_EVT, S_SRC
Event Venue S_SRC_VENUE
Industry S_INDUST
Literature Item S_LIT
Location Room S_EVTLOC_ROOM
Marketing Event or Activity S_SRC
Organization Unit S_ORG_EXT, S_PARTY
Person S_EMP_PER, S_CONTACT, S_PARTY
Position S_POSTN
Product S_PROD_INT
Product Line S_PROD_LN
Region S_REGION
Room Avail Equipment S_EVTLOC_RM_EQP
Travel Participant S_EVT_TRVL_PER
Travel Plan S_EVT_TRVL_PLAN
Vendor S_SRC_ORG
Vendor Offer S_EVT_VNDR_OFR
Vendor Review S_EVT_VNDR_RVW
Vendor Service S_EVT_VNDR_SVC
Siebel Data Model Reference for Industry Applications Version 8.1
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112
Venue S_ORG_EXT, S_PARTY
Venue Offer S_EVT_VENUE_OFR
Venue Review S_EVT_VENUE_RVW
Venue Service S_EVT_VENUE_SVC
Table 44. Financial Services Events ERD Entities and Tables
Entity Table
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 113
Figure 45. Financial Services Events
Titl
e : F
inan
cial
Ser
vice
s E
vent
sA
utho
r : O
racle
, Con
fiden
tial
TR
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ForecastsThis ERD (shown in Figure 22) illustrates the process of generating forecasts. A forecast series defines a set of forecast periods in which forecasts must be submitted, and describes the appropriate number of periods to forecast into the future for each forecast period. One or more positions are then assigned to submit forecasts under the defined forecast series. When a forecast series is accessible to the public, it means the forecast series can be shared across organizations. Each participant submits a forecast each period that is made up of forecast items. Each forecast item may be attributed to different kinds of business transactions, and may be defined at any of a number of levels based on business rules. These forecast items may be generated based on known revenue items. Forecasts that managers make can contain items from the forecasts of their subordinates.
Table 45 lists the entities in this ERD and their corresponding tables.
Table 45. Forecasts ERD Entities and Tables
Entity Table
Agreement S_DOC_AGREE
Forecast S_FCST
Forecast Item Detail S_FCST_ITEM_DTL
Forecast Period S_FCSTSER_DATE
Forecast Series S_FCSTSER
Forecasted Item S_FCST_ITEM
Marketing Event S_SRC
Opportunity S_OPTY
Organization Unit S_ORG_EXT, S_PARTY
Person S_CONTACT, S_PARTY
Position S_POSTN, S_PARTY
Product Line S_PROD_LN
Product or Service S_PROD_INT
Project S_PROJ
Quote S_DOC_QUOTE
Revenue Item S_REVN
Service Request S_SRV_REQ
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 115
Figure 46. Forecasts
Titl
e : F
orec
asts
Aut
hor
: Ora
cle
, Con
fiden
tial
AG
GR
EG
AT
E
DIM
EN
SIO
N
FO
RE
CA
ST
RE
VE
NU
E IT
EM
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RE
CA
ST
SE
RIE
S
FO
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ST
ED
ITE
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ITY
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116
Group Insurance PoliciesThis ERD (shown in Figure 47) illustrates how Siebel Financial Services supports generation of a group policy instance, which can be either a group health or a group life policy, or other types of employee benefits. One organization can own many policy instances. Each organization's employee is a primary policy contact, and determines the type of coverage and the elements of coverage they enjoy. Each contact covered by a policy instance has an insurance coverage role, and the contact's dependents are stored as coverage elements. The coverage role provides each coverage element with multiple possible benefits.
Table 46 lists the entities in this ERD and their corresponding tables.
Table 46. Group Insurance Policies ERD Entities and Tables
Entity Table
Census S_ORG_CENSUS
Census Detail S_CENSUS_DETAIL
Class S_VOD, S_VOD_VER
Class Attribute S_XA_ATTR
Contact S_CONTACT,S_PARTY
Coverage Role S_FN_CVRG_ROLE
Employee Class S_FN_GRP_CLASS
Instance Attribute S_ASSET_ITEM_XA
Organization Unit S_ORG_EXT, S_PARTY
Policy Instance S_ASSET
Primary Policy Member S_ASSET_CON
Product Attribute S_PROD_INT_XA
Product Class S_FN_HLDNG
Product Class Rate S_FN_HLDNG_RATE
Product Component S_PROD_ITEM
Product Enrollment S_FNCVRG_ELMNTS
Product For Member S_APPLD_CVRG
Product Instance S_ASSET_ITEM
Product Internal S_PROD_INT
Rate Band S_PROD_RATE
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 117
Figure 47. Group Insurance Policies
Titl
e : G
roup
Insu
ranc
e P
olic
yA
utho
r : O
racle
, Con
fiden
tial
PR
OD
UC
T
EN
RO
LLM
EN
T
PR
IMA
RY
PO
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Y M
EM
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R
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OD
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ect
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118
Group PensionsThis ERD (shown in Figure 48) illustrates how Siebel Financial Services supports group pension plans. The group pensions module is designed to meet the needs of sales and service professionals, managers, and pension administrators. Users can define group pension plans, plan classes, plan eligibility rules, and plan funding vehicles. When a pension plan is defined, users can track eligible and enrolled participants, participant contribution and investment allocations, and participant beneficiary information.
Table 47 lists the entities in this ERD and their corresponding tables.
Table 47. Group Pensions ERD Entities and Tables
Entity Table
Allocation S_APPLD_CVRG
Beneficiary S_FN_CVRG_ROLE
Employee Class S_FN_GRP_CLASS
Funding Vehicle S_PROD_REL
Group Pension Participant S_CONTACT, S_PARTY
Group Pension Plan S_ASSET
Group Pension Plan Contact S_ASSET_CON
Organization Unit S_BU
Pension Plan Offering S_PROD_INT
Person S_CONTACT, S_PARTY
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 119
Figure 48. Group Pensions
Title : Group PensionsAuthor : Oracle, Confidential
BENEFICIARY ALLOCATION
PARTICIPANT EMPLOYEE CLASS
ORGANIZATION UNIT
CONTACT
PRODUCT
PENSION PLAN
FUNDING VEHICLE
GROUP PENSION INSTANCE
part of
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of
by
for
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for
set up
part of
has
having
of part of
made up of
used for
uses
has
for
belongs to
has
belong to
consists of
has
for
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120
Health Provider and Provider GroupThis ERD (shown in Figure 49) illustrates how Siebel Financial Services supports generation of heath-related organizations (such as hospitals) and providers (such as physicians). A provider can be affiliated with one or more organizations and can deliver a health product (a medical service) to a contact or a patient during an encounter. Siebel Financial Services also stores payments made to a provider by an organization, as well as the specialty, language, and schedule of the provider.
Table 48 lists the entities in this ERD and their corresponding tables.
Table 48. Health Provider and Provider Group ERD Entities and Tables
Entity Table
Contact S_CONTACT,S_PARTY
Encounter S_FN_HLTH_ENCTR
Health Product S_PROD_INT
Language S_CONTACT_FNXM
Organization S_ORG_EXT, S_PARTY
Payment S_SRC_PAYMENT
Provider Group Schedule S_ORG_TIME
Provider Schedule S_CON_LOCTN
Specialty S_CONTACT_FNXM
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 121
Figure 49. Health Provider and Provider Group
Title : Health Provider/Provider GroupsAuthor :Oracle, Confidential
LANGUAGE
PROVIDER GROUPSCHEDULE
ORGANIZATION
EXTERNAL ORGANIZATION UNIT
PROVIDER GROUP
PAYMENT
HEALTHPRODUCT
SPECIALTYPROVIDERSCHEDULE
ENCOUNTER
CONTACT
PATIENT PROVIDER
made by
make
in
subject of provides
provided by
employs
part of
involves
part of
delivered by
delivers
made to
beneficiaryof
spoken by
speaks
for
specializedin
belongs to
subject of
serve
serve at
belongs to
subject of
involves
part of
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High Tech Marketing Development FundThis ERD (shown in Figure 50) illustrates how Siebel Business Applications support the funding of trade promotions in the high technology industry. Marketing Development Fund (MDF) is a pool of money made available to partners for the organization of marketing activities (campaigns, events, and so on). An MDF may be a partner-specific fund or general fund. MDFs (Programs) provide the brand owner with the ability to make marketing funds available to partners in a programmatic way. Partner Specific funds are child funds of Programs. Within each Partner Specific fund, the partner accrues funds under the given program. The partner creates a partner event activity (pre-approval) with several associated event items. Event Items add granularity to the partner event activity. Partners create claims to redeem the money in their partner-specific funds for marketing activities that were pre-approved by the brand owner.
Table 49 lists the entities in this ERD and their corresponding tables.
Table 49. High Tech Marketing Development Fund ERD Entities and Tables
Entity Table
Account, Partner, Other Account S_ORG_EXT
Claim Item S_SRC_PAYITM
Claim, Payment, Other Payment S_SRC_PAYMENT
Event Item S_SRC_COST
Fund Allocation S_MDF_ALLOC
General Fund S_MDF
Internal Product or Service S_PROD_INT
Market Segment S_MKT_SEG
Marketing Development Fund S_MDF
Marketing Event or Activity S_SRC
MDF Snapshot S_MDF_PERIOD
MDF Transaction S_MDF_TXN
Partner Event Activity S_SRC
Partner Program S_PRTNR_PROG
Partner Program Application S_PRTNRPRG_APPL
Partner Specific Fund S_MDF
Position S_POSTN
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 123
Figure 50. High Tech Marketing Development Fund
Title
: H
igh T
ech M
ark
eting D
evelo
pm
ent F
und
Auth
or
: O
racle
, C
onfidential
PA
RT
NE
R
PR
OG
RA
M
PA
RT
NE
R
PR
OG
RA
M
AP
PLIC
AT
ION
PO
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ION
MA
RK
ET
S
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ME
NT
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F
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AP
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OT
EV
EN
T IT
EM
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IM IT
EM
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RA
NS
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TIO
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IT
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EN
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R
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IVIT
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CT
IVIT
Y
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124
High Tech Special Pricing AuthorizationThis ERD (shown in Figure 51) illustrates the special pricing authorization business process for Siebel High Tech, which uses the Meet Competition Quote and Design Registration features. The quote or design registration opportunity leads to an Agreement with Entitlements for discounts on products. Point of sale data includes claim items, which can refer to agreed upon entitlements.
Table 50 lists the entities in this ERD and their corresponding tables.
Table 50. High Tech Special Pricing Authorization ERD Entities and Tables
Entity Table
Account S_ORG_EXT
Address S_ADDR_PER
Agreement S_DOC_AGREE
Claim Item S_POS_CLAIM_ITM
Design Registration S_OPTY_DSGN_REG
Entitlement S_ENTLMNT
Entitlement Product Price S_ENTL_PRDPRI
Meet Competition Quote S_DOC_QUOTE
Opportunity S_OPTY
Point of Sale Header S_POS
Point of Sale Item S_POS_ITEM
Product S_PROD_INT
Quote Line Item S_QUOTE_ITEM
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 125
Figure 51. High Tech Special Pricing Authorization
Title
: H
igh T
ech S
pecia
l P
ricin
g A
uth
orization
Auth
or
: O
racle
, C
onfidential
AD
DR
ES
S
PR
OD
UC
TP
OIN
T O
F S
ALE
IT
EM
OT
HE
R P
OS
ITE
M
CLA
IM IT
EM
PO
INT
OF
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LE
HE
AD
ER
OP
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RT
UN
ITY
OT
HE
R
OP
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RT
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ITY
DE
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N
RE
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TR
AT
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N
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E
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ject of
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port
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ted
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126
Hospitality CategoryThis ERD (shown in Figure 52) illustrates how Siebel Hospitality supports the categorization for revenue. There can be N levels of the revenue category in the hierarchy. One parent category can have one or more categories, and one category can have one or more subcategory. The subcategory is defined for the charge code and product, and a report is generated by category for each function and quote. Function and quote revenue by category hierarchy supports the hierarchical category. A macro estimate for the opportunity and quote is generated at the category level.
Table 51 lists the entities in this ERD and their corresponding tables.
Table 51. Hospitality Category ERD Entities and Tables
Entity Table
Hospitality Category S_CTLG_CAT
Parent Category S_CTLG_CAT
Category S_CTLG_CAT
Subcategory S_CTLG_CAT
Category Revenue S_AVG_VAL_TNT, S_FN_CATRV_TNT, S_QUO_CATRV_TNT
Function Average Level S_AVG_VAL_TNT
Function Revenue by Category S_FN_CATRV_TNT
Quote Revenue by Category S_QUO_CATRV_TNT
Quote Macro Revenue Estimate S_QUO_MEST_TNT
Opportunity Macro Revenue Estimate
S_OPTY_MEST_TNT
Charge Code S_EVT_CHRG_LST
Function Business Type by Date S_BIZ_TP_DT_TNT
Function S_FUNC_TNT
Quote S_DOC_QUOTE
Opportunity S_OPTY
Product or Service S_PROD_INT
Tax/Service List S_PRI_LST
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 127
Figure 52. Hospitality Category
Title : Hospitality CategoryAuthor : Oracle, Confidential
OPPORTUNITYOPPORTUNITY MACRO REVENUE ESTIMATE
QUOTE
FUNCTION
FUNCTION BUSINESS TYPE BY DATE
QUOTE MACRO REVENUE ESTIMATE
CATEGORY REVENUE
QUOTE REVENUE BY CATEGORY
FUNCTION REVENUE BY CATEGORY
FUNCTION AVERAGE LEVEL
PRODUCT OR SERVICE
TAX / SERVICE LIST CHARGE CODE
HOSPITALITY CATEGORY
SUB CATEGORY
CATEGORY
PARENT CATEGORY
child of
parent of
child of
parent of
defined for
associated with
for
subject of
for
subject of
generated from
lead to
for
subject of
for
subject of
for
subject of
of
subject of
for
subject of
child ofparent of
for
subject of
associated with
for
related with
subject of
child of
parent of
child of
parent of
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128
Institutional SalesThis ERD (shown in Figure 53) illustrates how Siebel Financial Services supports generation of a product or security traded in the stock market. One or more positions (such as institutional salespeople) can cover a product. A position owns and prepares a call list containing one or more contacts, who are the objects of the calls associated with any number of products. Siebel Financial Services also tracks security or product line interests of a contact, as well as the securities held by an organization unit (such as a company). Siebel Financial Services creates many-to-many relationships when storing the literature associated with employees, activities, and products. A position can send any number of pieces of literature to a contact within one activity.
Table 52 lists the entities in this ERD and their corresponding tables.
Table 52. Institutional Sales ERD Entities and Tables
Entity Table
Activity S_EVT_ACT
Call List S_CALL_LST
Contact S_CONTACT, S_PARTY
Employee S_EMP_PER, S_CONTACT, S_PARTY
Industry S_INDUST
Literature S_LIT
Organization Unit S_ORG_EXT, S_PARTY
Position S_POSTN, S_PARTY
Product S_PROD_INT
Product Line S_PROD_LN
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 129
Figure 53. Institutional Sales
Title
: In
stitu
tion
al S
ale
sA
uth
or
: O
racl
e, C
on
fid
en
tial
OR
GA
NIZ
AT
ION
UN
IT
EX
TE
RN
AL
O
RG
AN
IZA
TIO
N
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IT
CA
LL
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T
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US
TR
Y
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ER
AT
UR
E
EM
PL
OY
EE
AC
TIV
ITY
PR
OD
UC
T L
INE
CO
NT
AC
T
PO
SIT
ION
PR
OD
UC
T
SE
CU
RIT
Y
issued
by
issues
hold
s
held
by
auth
or
of auth
ore
d b
y
uses
attached to
cove
rs
subje
ct
of
about
subje
ct of
associa
ted
with
subje
ct
of
subje
ct
of
part
of
ow
ns
ow
ned b
y
cove
rs
cove
red
by
cove
rs
cove
red b
y
inte
reste
d in
obje
ct of
inte
rest of
inte
reste
d
in obje
ct of in
tere
st of
Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
130
Insurance ClaimsThis ERD (shown in Figure 54) shows the important entities in the Insurance Claim recording and handling process. It illustrates the relationship between claims and claim elements and the various parties to the claim. It covers the association of invoices, invoice line items, payments and recoveries to claims. Also illustrated is the relationship between claim and insurance policy, activity, service request, document, appraisal, and so forth. The diagram also shows the metadata that supports claims and claim elements.
Table 53 lists the entities in this ERD and their corresponding tables.
Table 53. Insurance Claims ERD Entities and Tables
Entity Table
Activity S_EVT_ACT, S_EVT_ACT_FNX
Assignment Group (Territory) S_ASGN_GRP, S_INSCLM_TERR
Claim Account S_INSCLM_ORG
Claim Appraisal S_INSCLM_APRSL
Claim Appraisal Attachment S_INSCLM_AP_ATT
Claim Contact S_INSCLM_CON, S_INSCLMCON_ORG
Claim Document S_INSCLM_DOC
Claim Element S_INSCLM_ELMNT
Claim File Attachment S_INSCLM_CL_ATT
Claim Payment S_SRCPAY_INSCLM
Claim Property S_INSCLM_PRPTY
Claim Recovery S_INSCLM_RECVRY
Contact S_CONTACT, S_PARTY, S_CONTACT_FNX
Default Coverage S_DEFAULT_ADMIN
Injury S_INSCLM_INJURY
Insurance Claim S_INS_CLAIMS_INSCLM_FRAUDS_INSCLM_SBRGTNS_INSCLM_UW
Insurance Policy S_ASSET
Insurance Policy Item S_INS_ITEM
Invoice S_INVOICE, S_INVC_PAYMENT
Invoice Line Item S_INVOICE_ITEM
Loss Code S_INS_LOSS_CODE, S_LOSSCD_PLNITM
Loss Code Coverage S_INS_LOSCD_COV
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 131
Loss Event S_INSCLM_EVT
Organization S_ORG_EXTS_PARTYS_ORG_EXT_FNX
Party S_PARTY
Payment S_SRC_PAYMENTS_SRCPAYMT_CONS_SRCPAYMT_ORGS_INVC_PAYMENT
Position S_POSTN, S_PARTY
Reserve Code S_INS_RSRV_CODE
Service Request S_SRV_REQ, S_SRV_REQ2_FNX
Table 53. Insurance Claims ERD Entities and Tables
Entity Table
Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
132
Figure 54. Insurance Claims
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Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 133
Insurance PoliciesThis ERD (shown in Figure 55) illustrates how Siebel Financial Services supports generation of insurance policies and related insurance policy items. The major entities are depicted in the bottom half of the diagram (insurance policy and insurance policy items). Insurance policies relate to households as well as contacts. Policy coverages, discounts, payment plans, and claim summaries are also supported.
Table 54 lists the entities in this ERD and their corresponding tables.
Table 54. Insurance Policies ERD Entities and Tables
Entity Table
Account S_ORG_EXT, S_PARTY
Claim Summary S_INS_CLAIM
Condition S_INSITEM_CNDTN
Contact S_CONTACT,S_PARTY
Discount S_APPLD_DISCNT
Drivers License S_DRVR_LICENSE
Household S_ORG_GROUP, S_PARTY
Household Contact S_GROUP_CONTACT
Insurance Coverages S_APPLD_CVRG
Insurance Document Item S_INS_DOC
Insurance Policy S_ASSET
Insurance Policy Item S_INS_ITEM
Insurance Policy Item Account S_INSITEM_ACCNT
License Restriction S_DL_RSTRCT
Payment Plan S_PAY_PLAN
Policy Contact S_ASSET_CON
Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
134
Figure 55. Insurance Policies
Titl
e:I
nsur
ance
Pol
icie
sA
utho
r:O
racl
e,C
onfid
entia
l
CO
ND
ITIO
N
AC
CO
UN
T
INS
UR
AN
CE
PO
LIC
YIT
EM
AC
CO
UN
T
CLA
IMS
UM
MA
RY
PA
YM
EN
TP
LAN
HO
US
EH
OLD
INS
UR
AN
CE
PO
LIC
YIT
EM
SC
HE
DU
LED
PE
RS
ON
AL
PR
OP
ER
TY
OT
HE
RIN
SU
RA
NC
EP
OLI
CY
ITE
M
WA
TE
RC
RA
FT
DW
ELL
ING
VE
HIC
LE
INS
UR
AN
CE
PO
LIC
Y
PE
RS
ON
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UM
BR
ELL
ALI
NE
S
PO
LIC
YIN
ST
AN
CE
OT
HE
RP
RO
PE
RT
Y
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TO
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EN
SE
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ST
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N
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US
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NT
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T
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NT
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T
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UR
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ME
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ITE
M
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SE
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UR
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GE
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pose
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o
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pose
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Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 135
Invoicable ChargesThis ERD (shown in Figure 56) illustrates how financial transactions, such as charges and credits, are handled. Any charge or credit that could be invoiced is added to this table. This is based on defined consolidation plan rules to consolidate charges and credits into invoice and invoice items.
Table 55 lists the entities in this ERD and their corresponding tables.
Table 55. Invoicable Charges ERD Entities and Tables
Entity Table
Activity S_EVT_ACT
Address S_ADDR_PER
Agreement S_DOC_AGREE
Agreement Entitlement S_ENTLMNT
Agreement Line Item S_AGREE_ITEM
Asset S_ASSET
Auction Item S_AUC_ITEM
Expense Item S_EXP_ITEM
Invoicable Charge S_INVOICE_CHRG
Invoice S_INVOICE
Invoice Item S_INVOICE_ITEM
Invoice Item Reconciliation Entry S_INVC_ITM_DTL
Order S_ORDER
Order Line Item S_ORDER_ITEM
Part Movement S_ACTPART_MVMT, S_ORDPART_MVMT
Part Repair S_PART_RPR
Party S_PARTY, S_ORG_EXT, S_CONTACT, S_USER, S_BU
Payment S_SRC_PAYMENT
Payment Term S_PAYMENT_TERM
Product or Service S_PROD_INT
Project Item S_PROJITEM
Project Team Role S_PROJ_RSRC
Service Request S_SRV_REQ
Shipment S_SHIPMENT
Time Sheet Item S_TMSHT_ITEM
Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
136
Figure 56. Invoicable Charges
Title
: In
voic
able
Ch
arg
es
Au
thor
: O
racle
, C
on
fiden
tial
PA
YM
EN
T
INV
OIC
E IT
EM
R
EC
ON
CIL
IAT
ION
EN
TR
Y
INV
OIC
E IT
EM
D
ET
AIL
INV
OIC
E IT
EM
INV
OIC
AB
LE
C
HA
RG
E
AD
DR
ES
S
EX
PE
NS
E IT
EM
TIM
E S
HE
ET
IT
EM
PR
OJE
CT
TE
AM
RO
LE
PR
OJE
CT
IT
EM
AU
CT
ION
IT
EM
PA
RT
Y
OR
GA
NIZ
AT
ION
UN
IT
OT
HE
R
OR
GA
NIZ
AT
ION
UN
IT
AC
CO
UN
T
OT
HE
R
PA
RT
Y
PE
RS
ON
INV
OIC
E IT
EM
INV
OIC
E
PA
YM
EN
T T
ER
M
AG
RE
EM
EN
T
LIN
E IT
EM
AG
RE
EM
EN
T
SE
RV
ICE
RE
QU
ES
T
SH
IPM
EN
T
PR
OD
UC
T O
R
SE
RV
ICE
PA
RT
RE
PA
IR
OR
DE
R L
INE
ITE
M
OR
DE
R
AG
RE
EM
EN
T
EN
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LE
ME
NT
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SE
T
AC
TIV
ITY
PA
RT
MO
VE
ME
NT
AC
TIV
ITY
P
AR
T
MO
VE
ME
NT
OR
DE
R
PA
RT
MO
VE
ME
NT
INV
OIC
AB
LE
CH
AR
GE
for
su
bje
ct of
bill
ed to
con
tact of
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ed to
prim
ary
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ing c
on
tact of
made f
or
fulfill
ed b
y
part
of
made u
p o
f
for
ch
arg
ed v
ia
for
su
bje
ct of
bill
ed to
for
for
locate
d a
tbill
ed to
for
for
ch
arg
ed v
ia
for
ch
arg
ed v
ia
based o
n
for
for
ch
arg
ed v
ia
for
ch
arg
ed v
ia
for
ch
arg
ed v
ia
obje
ct fo
r
of
of ord
ere
d o
n
part
of
com
posed o
f
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ch
arg
ed v
ia
for
ch
arg
ed v
ia
for
su
bje
ct of
invoic
ed in
to
for
for
ch
arg
ed v
ia
for
ch
arg
ed v
ia
for
ch
arg
ed v
ia
part
of
com
posed o
f
for
fulfill
ed b
y
for
ch
arg
ed v
ia
for
ch
arg
ed v
ia
based o
nbasis
of
part
of
made u
p o
f
part
of
made u
p o
f
for
ch
arg
ed v
ia
based o
n
basis
for
for
ch
arg
ed v
ia
for
ch
arg
ed v
ia
part
of
com
posed o
f
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 137
InvoicesThis ERD (shown in Figure 57) illustrates the invoicing and payment processes. An invoice may be considered a receivable or a payable for the company. It may be generated to bill for an order, a project, a part repair, an agreement, a service request, an activity, or a period of time for products or services delivered within a specific period of time. Items on the invoice may be reconciled with one or more other entities as well. A payment may be made for one or more Invoices, and an invoice may be paid through one or more payments.
Table 56 lists the entities in this ERD and their corresponding tables.
Table 56. Invoices ERD Entities and Tables
Entity Table
Activity S_EVT_ACT
Agreement S_DOC_AGREE
Expense S_EXP_ITEM
Invoice S_INVOICE
Invoice Attachment S_INVOICE_ATT
Invoice Item S_INVOICE_ITEM
Order S_ORDER
Order Item S_ORDER_ITEM
Part Movement S_ORDPART_MVMT
Part Repair S_PART_RPR
Payment S_SRC_PAYMENT
Period S_PERIOD
Product S_PROD_INT
Project S_PROJ
Service Request S_SRV_REQ
Shipment S_SHIPMENT
Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
138
Figure 57. Invoices
Title
: I
nvo
ice
sA
uth
or
: O
racle
, C
on
fid
en
tia
l
PR
OJE
CT
INV
OIC
E A
TT
AC
HM
EN
T
SH
IPM
EN
T
PE
RIO
D
AC
TIV
ITY
PA
RT
MO
VE
ME
NT
SH
IPP
ED
PA
RT
EX
PE
NS
E
UN
IT O
F
LA
BO
R
INV
OIC
E IT
EM
INV
OIC
E
OT
HE
R IN
VO
ICE
PA
YA
BLE
IN
VO
ICE
RE
CE
IVA
BLE
IN
VO
ICE
PA
RT
RE
PA
IR
PA
YM
EN
T
TE
RM
SE
RV
ICE
RE
QU
ES
T
AG
RE
EM
EN
T
PR
OD
UC
T
OR
DE
R IT
EM
OR
DE
R
PA
YM
EN
T
genera
ted for
reason for
genera
ted
for
reason for
for
bill
ed v
ia
for
bill
ed v
ia
for
sourc
e for
for
deta
il fo
r
for
bill
ed v
ia
part
of
com
posed
of
obje
ct fo
r
for
fulfill
ment fo
r
fulfill
ed b
y
genera
ted
for
reason for
genera
ted
for
reason for
for
bill
ed v
ia
for
bill
ed v
ia
for
bill
ed v
iafo
rbill
ed v
ia
genera
ted
for reason for
genera
ted
for
reason for
for
bill
ed v
ia
for
bill
ed v
ia
made for
fulfill
ed b
y
of
ord
ere
d o
npart
of
com
posed o
f
part
of
com
posed
of
for
bill
ed v
ia
for
bill
ed v
ia
based o
n
for
genera
ted
for
reason for
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 139
Life Insurance PolicyThis ERD (shown in Figure 58) illustrates how Siebel Financial Services supports generation of life insurance policies and annuities as assets. Each asset can be owned by an organization or a number of contacts, and the owners can specify the coverage and beneficiaries under the policy. The owner can execute a multitude of operations on the asset such as transfers, payments, withdrawals, and surrenders.
Table 57 lists the entities in this ERD and their corresponding tables.
Table 57. Life Insurance Policy ERD Entities and Tables
Entity Table
Activity S_EVT_ACT
Assessment S_ASSESS
Assessment Value S_ASSESS_VAL
Asset Contact S_ASSET_CON
Beneficiary S_FN_CVRG_ROLE
Beneficiary Class S_FN_BENFCLASS
Bill Account S_INS_BILLACCT
Coverage Option S_CVRG_OPTION
Financial Account S_ASSET
Financial Transaction S_FN_ACCNT_TXN
Financial Transfer S_FN_ASSET_TXFR
Holding S_FN_HLDNG
Insurance Claim S_INS_CLAIM
Insurance Coverage S_APPL_CVRG
Organization S_ORG_EXT, S_PARTY
Pay Plan S_PAY_PLAN
Person S_CONTACT, S_PARTY
Product S_PROD_INT
Service Request S_SRV_REQ
Withdrawal/Surrender S_PAYMT_REQ
Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
140
Figure 58. Life Insurance Policy
Titl
e : L
ife In
sura
nce
Pol
icy
Aut
hor
: Ora
cle
, Con
fiden
tial
WIT
HD
RA
WA
L /S
UR
RE
ND
ER
AS
SE
SS
ME
NT
V
ALU
EB
EN
EF
ICIA
RY
CO
VE
RA
GE
O
PT
ION
AS
SE
SS
ME
NT
BIL
L A
CC
OU
NT
INS
UR
AN
CE
C
LAIM
AC
TIV
ITY
INS
UR
AN
CE
C
OV
ER
AG
E AS
SE
T
CO
NT
AC
T
PA
Y P
LAN
PE
RS
ON
SE
RV
ICE
R
EQ
UE
ST
OR
GA
NIZ
AT
ION
HO
LDIN
G
FIN
AN
CIA
L T
RA
NS
FE
R
FIN
AN
CIA
L T
RA
NS
AC
TIO
N
BE
NE
FIC
IAR
Y
CLA
SS
PR
OD
UC
TF
INA
NC
IAL
AC
CO
UN
T
PO
LIC
Y IN
ST
AN
CE
LIF
E P
OLI
CY
AN
NU
ITY
LO
AN
for
subj
ect
of
for
a co
mpo
nent
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Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 141
LoyaltyThe Loyalty Member and the Loyalty Program ERDs of previous releases have been consolidated into a single ERD in addition to the new features of 8.1.
This ERD (shown in Figure 59) illustrates how programs and promotions are created for customer loyalty. Partner companies can have association with a loyalty hosting company to create a loyalty program. A program is the highest level entity in Siebel Loyalty. Members, tiers, promotions, point values, and so on are all specific to a single program. The members of the loyalty program can be individuals, households or accounts. A loyalty member can accrue or redeem points based on their individual transactions. In Version 8.1, Pricing rule , Pricing Range, Point Subtype, Incentive Choice, and Partner Statement entities have been introduced to support enhancements to features such as Post-Paid and Pre-Paid Partnership Management, Promotion Registration Service and so on.
Siebel Loyalty 8.1 extends accrual, redemption, promotion, enrollment, member administration and other functions:
■ Accrual Processing. Allows unified partner point type for simplified billing. Accrual templates are used for configurable transaction validations. Multiple partner debits for joint promotions enable cost sharing among partners. User-defined controls and billing triggers are provided to manage partner point balance. Allows joint rewards to benefit the organization for employee’s business transactions.
■ Promotion. Supports range-based points calculation as well as issuing vouchers as an accrual reward. Promotion criteria now includes product and partner attributes and leverages target lists of members linked to marketing campaigns or generated using analytics.
■ Redemption. Supports distance-based zones to support air redemption pricing used by some airlines and carriers. Multiple currency and multiple modes of payment are allowed. Automated point loans can be assigned to members with an insufficient balance for redemption, based on their tier status. Variable redemption pricing enables member differentiation. OOTB business services support end-to-end redemptions from third-party interfaces. A voucher-based redemption model supports service awards.
■ Member Administration. Automated tier upgrades recognize member relationships. Tier assessment enhancements support additional models like anniversary-based, fixed-date and rolling-period models. Tier change approvals prevent key members from automatic downgrade of their membership status. Bulk member administration facilitates effective service recovery through dynamic targeted rewards. User-defined membership statuses manage the membership life cycle.
■ Enrollment. The member data model has been enhanced for enriched analytics and segmentation. Batch enrollment processing has been enabled for bulk member creation and pre- created memberships enable instant member acquisition.
■ Outbound Communication. Outbound communication will be triggered when certain events occur. Content is now generated in XML format for compatibility with third-party fulfillment applications.
Partner Administration functionality has also been extended:
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142
■ Post-Paid and Pre-Paid Partnership Management. Supports both post-paid and pre-paid partnerships. Post -paid partners are billed based on a pay-as-you-go basis. The bill frequency can be based on time or a threshold value. Credit limits can be set for pre-paid partners; the partners cannot reward points to the members beyond the limit. After the limit is reached, they have to reorder for points. Partner statements can be generated.
■ Point sub-type related data-model enhancements. Point subtype information is captured to aid points administration.
■ Points Reactivation: Enables reactivation of points. Loyalty members’ point balances expire if not used for a given expiration period,. Upon request by a loyalty member, these points can be reactivated with some charges applied to the member’s account.
■ Gift Miles Service. Loyalty members are allowed to gift accrued points to other members.
■ Promotion Registration Service. Incentive choices are available at the promotion level.
■ Airport-Zone Map for Co-terminal Identification. Tracks zone details of airports .Loyalty programs can use use zone details to allow members to accrue points based on zone travel.
Table 58 lists the entities in this ERD and their corresponding tables.
Table 58. Loyalty ERD Entities and Tables
Entity Table
Account S_ORG_EXT
Accrual Item S_LOY_ACRL_ITM
Accrual Template S_LOY_ACRL_RULE,S_ACRL_RULE_ITM
Activity S_EVT_ACT_LOYX
Attribute Definition S_LOY_ATTRDEFN
Bucket S_LOY_BUCKET
Hosting Company S_ORG_EXT
Household S_ORG_GROUP
Incentive Choice S_LOYPR_ICHOICE
Individual S_CONTACT
Loan S_LOY_LOAN
Loyalty Program S_LOY_PROGRAM
Loyalty Program Member S_LOY_MEMBER
Loyalty Promotion S_LOY_PROMO
Loyalty Transaction S_LOY_TXN
Membership Card S_LOY_CARD
Package Product S_LOY_TXN_ITEM
Partner Product Offering S_PGM_ORG_PROD
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 143
Partner Statement S_PROGORG_STMT
Partner Transaction S_LOY_PRT_TXN
Point Type S_LOY_ATTRDEFN
Point Subtype S_LOY_PTSUBTYP
Pricing Options S_LOY_PROD_PT
Pricing Rule S_LOY_PRI_RULE
Pricing Range S_LOY_PRI_RANGE
Product S_PROD_INT
Program Partner S_ORG_EXT, S_LOY_PROG_ORG
Purchase Transfer Limits S_LOY_PURTRN_LM
Redemption Activity S_LOY_RDM_ACT
Redemption Item S_LOY_RDM_ITM
Service Product Association S_LOY_SRV_PROD
Statement S_LOY_STMT
Status Restriction S_LOY_MSTAT_PRF
Tier S_LOY_TIER
Tier Class S_LOY_TIER_CLS
Tier Reward S_LOY_REWARD
Travel Information S_LOY_TRVL_INFO
Voucher S_LOY_MEM_VCHR
Table 58. Loyalty ERD Entities and Tables
Entity Table
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144
Figure 59. Loyalty
Title
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Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 145
Managed CareThis ERD (shown in Figure 60) illustrates how plan design, formulary, and formulary product are used in Siebel Life Sciences. An account contains plan designs, which have relationships to contacts. Each plan design contains formularies, which are associated with markets that are essentially products. Each formulary contains formulary products, which are children products for the market the formulary is associated with.
Table 59 lists the entities in this ERD and their corresponding tables.
Table 59. Managed Care ERD Entities and Tables
Entity Table
Account S_ORG_EXT, S_PARTY
Formulary S_INSPLN_FRMLY
Formulary Product S_PLNFRMLY_PROD
Health Care Professional S_CONTACT, S_PARTY
Managed Care Plan S_INS_PLAN
Plan Design Contact S_INSPLAN_CON
Product, Market S_PROD_INT
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146
Figure 60. Managed Care
Title : Managed Care Author : Oracle, Confidential
HEALTH CARE PROFESSIONAL
PRODUCTFORMULARY PRODUCT
FORMULARY
MANAGED CARE PLAN
ACCOUNT
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Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 147
Marketing Campaign This ERD (shown in Figure 61) illustrates campaign management, execution, and evolution. Campaign management may involve the focus of the campaign on a territory, as well as the responsibility of the various internal divisions and teams for successful execution. Execution may include the production and distribution of literature to the appropriate campaign contacts. Campaign evolution tracks the usage of call lists to identify campaign contacts and generate leads. Campaign contacts may include prospective contacts purchased on a call list. If a prospective contact is not promoted to a customer before the call list that names them expires, they are typically deleted from the database.
Table 60 lists the entities in this ERD and their corresponding tables.
Table 60. Marketing Campaign ERD Entities and Tables
Entity Table
Activity S_EVT_ACT
Call List S_CALL_LST
Call List Member S_CALL_LST_CON
Campaign Call List S_CAMP_CALL_LST
Campaign Contact S_CAMP_CON
Fulfillment Recipient S_FUL_RECIP
Fulfillment Request S_EVT_FUL_REQ
Fulfillment Request Item S_FUL_REQ_ITEM
Literature Item S_LIT
Marketing Event S_SRC
Opportunity S_OPTY
Opportunity Contact S_OPTY_CON
Order S_ORDER
Organization Unit S_ORG_EXT, S_PARTY
Person S_CONTACT, S_PARTY
Position S_POSTN, S_PARTY
Prospective Contact S_PRSP_CONTACT
Response S_COMMUNICATION
Territory S_ASGN_GRP
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148
Figure 61. Marketing Campaign
Title
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Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 149
Marketing CollaborationCollaborative marketing (shown in Figure 62) assists marketers in maintaining the balance between the need for consistent customer management among partners and effective brand building with local expertise. It consists of two features. Marketing program collaboration allows companies to develop marketing programs in a more collaborative environment, resulting in reduced costs. It encourages collaboration on programs through the sharing of information with key action groups (internal and external). Partner marketing enhancements provides the ability to associate and track partner participation in marketing programs and campaigns to measure and report on opportunities, orders, and ROI. It also closes the loop by providing the ability to track partner sources for responses/opportunities orders.
Table 61 lists the entities in this ERD and their corresponding tables.
Table 61. Marketing Collaboration ERD Entities and Tables
Entity Table
Internal Partner/Organization S_ORG_EXT, S_PARTY
Marketing Event or Activity S_SRC
Opportunity S_OPTY
Order S_ORDER
Organization Unit, Other Organization Unit S_ORG_EXT, S_PARTY
Partner Organization S_BU, S_PARTY
Party, Other Party S_PARTY
Quote S_DOC_QUOTE
Response S_COMMUNICATION
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150
Figure 62. Marketing Collaboration
Title : Marketing Collaboration
Author : Oracle, Confidential
QUOTE
MARKETING EVENT OR ACTIVITY
OPPORTUNITY
ORDER
RESPONSE
PARTY
OTHER PARTY
ORGANIZATION UNIT
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Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 151
Marketing EncyclopediaThis ERD (shown in Figure 63) illustrates how Siebel Business Applications track competitive information about products and companies. A standard set of metrics may be defined against which competitive organizations and their products can be rated in comparison with the internal organization and products, respectively. Detailed product specifications can be recorded. In addition, competitive literature may be associated both with organizations and with products. The relevance of key decision issues to the various competitive metrics may be defined.
Table 62 lists the entities in this ERD and their corresponding tables.
Table 62. Marketing Encyclopedia ERD Entities and Tables
Entity Table
Company Literature S_CO_LIT
Competitive Company Feature S_CMPT_CO_FEA
Competitive Metric S_CMPT_MTRC
Competitive Product Feature S_CMPT_PROD_FEA
Issue S_ISS
Literature Item S_LIT
Organization Unit S_ORG_EXT, S_PARTY
Product Comparison S_PROD_CMP
Product Detail S_PROD_SPEC
Product External S_PROD_EXT
Product Internal S_PROD_INT
Product Literature S_PROD_LIT
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152
Figure 63. Marketing Encyclopedia
Titl
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Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 153
Marketing EventsThis ERD (shown in Figure 64) illustrates how Siebel Business Applications support marketing events and activities planning. A marketing event may be composed of one or more sessions, held at one or more venues such as a hotel or convention center. The room for each session of an event may be chosen based on the size and equipment requirements of the session matched to the size and available equipment of each room. Users can also create travel plans for customers attending the events. Event vendors and sponsors can be tracked as well as the various offers or services they provide. The event staff can be planned and attendees invited. Attendees may then register for the event or even for specific sessions. Attendees may be quoted registration prices through a quote and purchase tickets to the event through an order.
Table 63 lists the entities in this ERD and their corresponding tables.
Table 63. Marketing Events ERD Entities and Tables
Entity Table
Activity S_EVT_ACT
Contract Line Item S_ORDER_ITEM, S_QUOTE_ITEM
Equipment Requirement S_SRC_REQ_EQUIP
Event S_SRC_EVT, S_SRC
Event Cost S_SRC_COST
Event Location S_EVTLOC
Event Registration S_SRC_EVT_REG
Event Session S_SRC_EVT, S_SRC
Event Vendor S_SRC_ORG
Event Venue S_SRC_VENUE
Literature Item S_LIT
Location Room S_EVTLOC_ROOM
Marketing Event or Activity S_SRC
Order S_ORDER
Organization Unit S_ORG_EXT, S_PARTY
Parent Event S_SRC_EVT, S_SRC
Position S_POSTN, S_PARTY
Product or Service S_PROD_INT
Quote S_DOC_QUOTE
Room Avail Equipment S_EVTLOC_RM_EQP
Travel Participant S_EVT_TRVL_PER
Travel Plan S_EVT_TRVL_PLAN
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Logical Model ■ Entity Relationship Diagrams and Descriptions
154
Vendor Offer S_EVT_VNDR_OFR
Vendor Review S_EVT_VNDR_RVW
Vendor Service S_EVT_VNDR_SVC
Venue S_ORG_EXT, S_PARTY
Venue Offer S_EVT_VENUE_OFR
Venue Review S_EVT_VENUE_RVW
Venue Service S_EVT_VENUE_SVC
Table 63. Marketing Events ERD Entities and Tables
Entity Table
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 155
Figure 64. Marketing Events
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Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
156
Marketing PlansThis ERD (shown in Figure 65) illustrates how marketing plans are used in conjunction with the financial modeler for the purposes of financial planning. Marketing plans are multilevel groupings of plan elements (campaigns) or sub-plans. Financial goals and costs can be forecasted for each level of the plan, tracked against actual achievement after campaign execution, and rolled up to the top-level plan. Funds can also be allocated for different plans in different periods and used as inputs for accounting purposes or in financial calculations.
Table 64 lists the entities in this ERD and their corresponding tables.
Table 64. Marketing Plans ERD Entities and Tables
Entity Table
Call List S_CALL_LST
Marketing Development Fund S_MDF
Marketing Event Cost S_SRC_COST
Marketing Event or Activity, Marketing Plan, Other Marketing Plan or Activity
S_SRC
Marketing Goal S_SRC_GOAL
Period S_PERIOD
Planned Marketing Development Fund Allocation S_MDF_ALLOC
Product or Service, Product Line, Other Product or Service S_PROD_INT, S_PROD_LN
Product Promotion S_PROD_INT_SRC
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 157
Figure 65. Marketing Plans
Titl
e : M
arke
ting
Pla
nsA
utho
r : O
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Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
158
Medical Education Event Management This ERD (shown in Figure 66) illustrates the significant entities related to medical education events including plans, subplans, funds, events, sessions, products, and team members (employees). Medical education event planning also supports the allocation and aggregation of medical education budgets and expenditures for individual team members.
Table 65 lists the entities in this ERD and their corresponding tables.
Table 65. Medical Education Event Management ERD Entities and Tables
Entity Table
Activity S_EVT_ACT
Event S_ME_EVT_LS
Event Invitee S_ME_EVT_INV_LS
Event Position S_ME_EVT_POS_LS
Fund S_MDF, S_ME_PLN_MDF_LS
Literature S_ME_SES_LIT_LS
Material S_ME_SES_MAT_LS
Period S_PERIOD
Person S_CONTACT, S_PARTY
Plan S_ME_PLN_LS
Position S_POSTN, S_PARTY
Product S_ME_SES_PRD_LS, S_ME_EVT_PRD_LS, S_ME_PLN_PRD_LS, S_PROD_INT
Session S_ME_SES_LS
Session Invitee S_ME_SES_INV_LS
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 159
Figure 66. Medical Education Event Management
Title
: M
edic
al E
duca
tion
Eve
nt M
anag
emen
tA
utho
r :
Ora
cle
, Con
fiden
tial
AC
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E
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ION
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Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
160
ObjectivesThis ERD (shown in Figure 67) illustrates how the Siebel Consumer Goods application supports the objective process as part of retail execution. The retail execution process begins with the creation of an objective. Objectives are generated to help facilitate the process of accomplishing certain goals. This model shows that an objective can be applied to many accounts, including accounts with multiple contacts. There are generally multiple activities that belong to an objective, activities which require follow-through to help bring the objective to fruition. The objective must be executed by personnel who are assigned to the objective, its accounts, and activities.
Table 66 lists the entities in this ERD and their corresponding tables.
Table 66. Objectives ERD Entities and Tables
Entity Table
Account S_PARTY, S_ORG_EXT
Activity Details S_EVT_ACT
Contact S_PARTY, S_CONTACT
Objective S_SRC
Position S_POSTN
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 161
Figure 67. Objectives
Title : OBJECTIVESAuthor : Oracle, Confidential
ACTIVITY DETAILS
POSITION
CONTACTACCOUNT
OBJECTIVE
assigned to
responsible for
has
subject to
target of
for
target of
for
Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
162
Opportunity ManagementThis ERD (shown in Figure 68) illustrates the significant entities related to an opportunity (or lead), including relationships to contacts, employees (generally sales representatives), products, accounts, and so on.
Table 67 lists the entities in this ERD and their corresponding tables.
Table 67. Opportunity Management ERD Entities and Tables
Entity Table
Address S_ADDR_PER
Agreement S_DOC_AGREE
Contact S_CONTACT, S_PARTY
Employee S_EMP_PER, S_CONTACT, S_PARTY
Event S_EVT_ACT
External Organization Unit S_ORG_EXT, S_PARTY
Issue S_ISS
Opportunity S_OPTY
Opportunity Relationship S_OPTY_REL
Organization Unit S_ORG_EXT, S_PARTY
Person S_CONTACT, S_PARTY
Product S_PROD_INT
Quote S_DOC_QUOTE
Sales Stage S_STG
Source S_SRC
Territory S_ASGN_GRP
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 163
Figure 68. Opportunity Management
Titl
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ppor
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ty M
anag
emen
tA
utho
r : O
racl
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onfid
entia
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Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
164
Order Life CycleThis ERD (shown in Figure 69) illustrates how orders are tracked through their full life cycle by Siebel Business Applications. The cycle starts with an opportunity that tracks the consideration of purchase of one or more products. This opportunity leads to one or more quotes, composed of one or more quoted product items. A quote may then lead to one or more orders. An order is composed of one or more ordered product items. Fulfillment of the order can be tracked through a set of part movements of various types, culminating in a shipment of products to the customer, and the invoicing for shipped goods.
Table 68 lists the entities in this ERD and their corresponding tables.
Table 68. Order Life Cycle ERD Entities and Tables
Entity Table
Account S_ORG_EXT, S_PARTY
Invoice S_INVOICE
Invoice Item S_INVOICE_ITEM
Opportunity S_OPTY
Opportunity Product S_REVN
Order S_ORDER
Order Item S_ORDER_ITEM
Order Part Movement S_ORDPART_MVMT
Product or Service S_PROD_INT
Quote S_DOC_QUOTE
Quote Item S_QUOTE_ITEM
Shipment S_SHIPMENT
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 165
Figure 69. Order Life Cycle
Title
: O
rder
Life
Cyc
leA
utho
r : O
racle
, Con
fiden
tial
AC
CO
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Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
166
OrdersThis ERD (shown in Figure 70) illustrates the relationships between orders and significant entities related to orders such as assets, products, inventory locations, part movements, inventory transactions, activities, and parties. Orders include sales orders, service orders, purchase orders, and return material authorizations (RMAs) among others. The fulfillment of an order results in one or more part movements according to the instructions of the order. Each part movement results in one or more inventory transactions. Each order is usually the responsibility of a single internal or partner organization, but sometimes two or more. An order may be assigned or credited to one or more positions.
Table 69 lists the entities in this ERD and their corresponding tables.
Table 69. Orders ERD Entities and Tables
Entity Table
Activity S_EVT_ACT
Asset S_ASSET
Inventory Location S_INVLOC
Inventory Transaction S_INV_TXN
Inventory Transaction Type S_INV_TXN_TYPE
Order S_ORDER
Order Item S_ORDER_ITEM
Order Type S_ORDER_TYPE
Part Movement S_ACTPART_MVMT, S_ORDPART_MVMT
Part Movement Type S_PARTMVMT_TYPE
Party S_PARTY, S_ORG_EXT, S_POSTN, S_CONTACT
Product S_PROD_INT
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 167
Figure 70. Orders
Titl
e : O
rder
sA
utho
r : O
racle
, Con
fiden
tial
AS
SE
T
PR
OD
UC
T
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RY
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RA
NS
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N
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ER
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NIZ
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PE
RS
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R
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RT
Y
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EN
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RY
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RA
NS
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TIO
N
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RT
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VE
ME
NT
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DE
R P
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EN
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RT
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TA
CT
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Y P
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RD
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Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
168
Partner CollaborationPartner collaboration (shown in Figure 71) allows the brand owner's partner companies to give other partners visibility to their data. With this functionality, partners can more easily collaborate with other partners, without any required intervention from the brand owner company. Partner companies can start collaborations and invite other partners of the brand owner to join their collaborations. Once the invitation is accepted, individual partner companies who are now part of the collaboration can pledge resources (Positions) to the collaboration, making the resources available to all partners in the collaboration who may want to add the resource to a project or an opportunity.
Table 70 lists the entities in this ERD and their corresponding tables.
Table 70. Partner Collaboration ERD Entities and Tables
Entity Table
Business Unit S_BU
Collaboration S_PARTY_GROUP
Collaboration Resource S_PARTY_PER
Collaboration Invitation S_BRDCST_MSG
Party S_PARTY
Position S_POSTN
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 169
Figure 71. Partner Collaboration
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Logical Model ■ Entity Relationship Diagrams and Descriptions
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Partner Program RegistrationPartner Program Registration (shown in Figure 72) provides a system for the process of configuration and deployment of registration of partner programs. Partner Program Registration consists of three smaller and more manageable processes: a user registration process, a company registration process, and a partner program registration process.
Table 71 lists the entities in this ERD and their corresponding tables.
Table 71. Partner Program Registration ERD Entities and Tables
Entity Table
Application Approval Team S_PRG_APPL_PSTN
Application Attachment S_PRG_APPL_ATT
Application Question Answer S_PRG_APPL_QA
Approval List S_PRTNRPRG_PRTN
Eligibility List S_PRTNRPRG_PRTN
Partner S_ORG_EXT
Partner Program S_PRTNR_PROG
Partner Program Application S_PRTNRPRG_APPL
Partner Program Group S_PRTNRPRG_GRP
Partner Program Membership S_PRTNRPRG_MBR
Program Team S_PRTNRPRG_PSTN
Renew List S_PRTNRPRG_PRTN
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 171
Figure 72. Partner Program Registration
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Logical Model ■ Entity Relationship Diagrams and Descriptions
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Party ModelThis ERD (shown in Figure 73) illustrates the structure of the party entity, its significant subtypes, and relationships. A party is either a person or some grouping of people such as an organization, a household, a position or a list of users. A person may be an employee or agent of the company using Siebel Business Applications. A person may also be considered a user if he or she has been granted user login credentials. An access group is a type of party that is made up of one or more groups. Addresses may be tracked for a person, a household, or an organization.
Table 72 lists the entities in this ERD and their corresponding tables.
Table 72. Party Model ERD Entities and Tables
Entity Table
Access Group S_PARTY
Account S_ORG_EXT, S_PARTY
Business Address S_ADDR_PER
Employee/Agent S_EMP_PER, S_CONTACT, S_PARTY
Group S_PARTY
Household S_ORG_GROUP, S_PARTY
Organization Relationship S_PARTY_REL
Organization Unit S_ORG_EXT, S_PARTY
Party S_PARTY
Party Relationship S_PARTY_REL
Person S_CONTACT, S_PARTY
Person Relationship S_PARTY_REL or S_CONTACT_REL
Personal Address S_ADDR_PER
Position S_POSTN, S_PARTY
User List S_PARTY
User Login S_USER
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 173
Figure 73. Party Model
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Logical Model ■ Entity Relationship Diagrams and Descriptions
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PaymentsThis ERD (shown in Figure 74) illustrates the support for payments provided in the Siebel Data Model. The payment entity supports payments made by customers to the company, as well as payments made by the company to customers, vendors, or others. A payment may be made to directly settle an order or to settle one or more Invoices. An invoice may be paid through one or more payments. A payment may be taken as a deduction from a prepayment balance available to the paying party.
Table 73 lists the entities in this ERD and their corresponding tables.
Table 73. Payments ERD Entities and Tables
Entity Table
Address S_ADDR PER
Invoice S_INVOICE
Order S_ORDER
Organization Unit S_ORG_EXT, S_PARTY
Party S_PARTY
Payment S_SRC_PAYMENT
Person S_CONTACT, S_PARTY
Prepayment Balance S_PREPAY_BAL
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 175
Figure 74. Payments
Title : PaymentsAuthor :Oracle, Confidential
PARTY
ORGANIZATION UNIT
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PERSON
PREPAYMENT BALANCE
ADDRESS
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Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
176
Performance ReviewThis ERD (shown in Figure 75) illustrates how the Siebel Data Model supports employee performance reviews. Review templates of various types (such as annual review, periodic review, customer satisfaction, MBO, KSO, and service level) can be specified to contain one or more Components (such as shared objectives, training plan, rollup, 360-degree evaluation, individual objectives, and skills). Components may be made up of standard review metrics. The performance review can then be created for a given employee and employee-specific objectives can be defined. At the end of the review period, the performance review can be completed and ratings given for assigned objectives and for the standard review metrics. Different rating scales can be defined and used for different types of reviews. Review templates can be specified for different job families and internal organizations. An employee may optionally be separately reviewed for performance in each of his or her assigned Positions.
This diagram also illustrates how the Siebel Data Model supports employee performance review by other employees within an organization. These employees can be employees at the same level, a higher level, or a lower level who may provide performance reviews for an employee to the manager of that employee. A set of evaluation questions can be defined and associated with different sets of employees. The reviewers answer the questions to evaluate the performance of the employee.
Table 74 lists the entities in this ERD and their corresponding tables.
Table 74. Performance Review ERD Entities and Tables
Entity Table
360 Evaluation S_PERF_360_EVAL
Competency S_CMPTNCY
Employee Criteria (PDQ) S_APP_VER, S_RVW_360_CS
Employee/Agent S_EMP_PER, S_CONTACT, S_PARTY
Evaluation Script S_CS_PATH, S_CS_PATH_SCPT
Evaluation Script Answer S_CS_RUN, S_CS_RUN_ANSWR
Job Family S_JOB_FAMILY
Organization Unit S_ORG_EXT, S_PARTY
Party S_PARTY
Performance Measurement Item S_PERF_MEAS_ITM
Performance Review S_EMP_PERF_MEAS
Period S_PERIOD
Person S_CONTACT, S_PARTY
Position S_POSTN, S_PARTY
Review Component S_PERF_RVW_CMP
Review Component Language S_RVW_COMP_LANG
Review For Skill Item S_PERF_CMPTNCY
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 177
Review Metric S_PERF_RVW_MTRC
Review Rating S_PERF_RATING
Review Rating Scale S_PERF_RATING_SCL
Review Template S_PERF_RVW_TMPL
Review Template Component S_PERF_RVW_COMP
Table 74. Performance Review ERD Entities and Tables
Entity Table
Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
178
Figure 75. Performance Review
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Siebel Data Model Reference for Industry Applications Version 8.1 179
Personal AccountThis ERD (shown in Figure 76) illustrates how personal accounts (such as financial accounts or insurance policies) are accessible by contacts and associated with accounts, and how addresses are relevant for each of these. Also supported are associations between contacts and the membership of contacts in groups. Opportunities are associated with personal accounts to track the source of existing business.
Table 75 lists the entities in this ERD and their corresponding tables.
Table 75. Personal Account ERD Entities and Tables
Entity Table
Account S_ORG_EXT, S_PARTY
Activity S_EVT_ACT
Contact S_CONTACT, S_PARTY
Opportunity S_OPTY
Organization Unit S_ORG_EXT, S_PARTY
Personal Account S_ASSET
Personal Account Contact S_ASSET_CON
Personal Address S_ADDR_PER
Product S_PROD_INT
Service Request S_SRV_REQ
Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
180
Figure 76. Personal Account
Title : Personal AccountAuthor : Oracle, Confidential
CONTACT
SERVICE REQUESTACTIVITY
PERSONAL ADDRESS
ADDRESS USAGE
ORGANIZATION UNIT
PRODUCT OR SERVICE
OPPORTUNITY
PERSONAL ACCOUNT CONTACT
PERSONAL ACCOUNT
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Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 181
Personal Financial ReviewThis ERD (shown in Figure 77) illustrates the information captured during the process of reviewing the financial status of an individual customer. The financial review process itself is tracked as an activity and becomes the source of the rest of the personal financial information of the contact, including assets, liabilities, income, expenses, and financial needs (such as retirement savings). When the financial needs of the contact are not fully addressed by his or her current financial product holdings, assets, or liabilities, the salesperson makes one or more financial recommendations. When a financial recommendation leads to a purchased product, such as a savings account or mortgage, the product instance can be associated with the recommendation that led to it. Assets may be located at a personal address and may be a source of income. Similarly, a liability, such as a mortgage, may be secured by an associated asset and may have periodic expenses associated with the liability.
Table 76 lists the entities in this ERD and their corresponding tables.
Table 76. Personal Financial Review ERD Entities and Tables
Entity Table
Activity S_EVT_ACT
Activity Product Instance S_ACT_ASSET
Asset (Liability) S_FN_ASSET_LIAB
Asset (Liability) Contact S_FN_ASSET_LIAB_CON
Contact S_CONTACT, S_PARTY
Contact Relationship S_CONTACT_REL
Financial Need S_FN_NEED
Financial Recommendation S_FN_RCMD
Household/Account S_ORG_GROUP, S_PARTY
Income (Expense) S_FN_INCM_EXP
Income (Expense) Contact S_FN_INCM_EXP_CON
Need Contact S_FN_NEED_CON
Opportunity S_OPTY
Organization Unit S_ORG_EXT, S_PARTY
Product S_PROD_INT
Product Instance S_ASSET
Product Instance Contact S_ASSET_CON
Received Product Instance S_FN_RCMD_ASSET
Recommendation Contact S_FN_RCMD_CON
Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
182
Figure 77. Personal Financial Review
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Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 183
Personalized Content DeliveryThe Personalized Content Delivery feature allows pharmaceutical sales representatives to deliver a sales communication to general practitioners and medical specialists using multimedia visualizations. This ERD (shown in Figure 78) illustrates how a Message Plan is associated to Messages, Products Presentation Details and Party Entities such as Account, Contact, Position and Business Unit.
Table 77 lists the entities in this ERD and their corresponding tables.
Table 77. Personalized Content Delivery ERD Entities and Tables
Entity Table
Account S_PARTY, S_ORG_EXT
Activity S_EVT_ACT, S_EVT_ACT_LSX
Assessment Template S_TMPL_PLANITEM
Business Unit S_PARTY, S_BU
Contact S_PARTY, S_CONTACT
Decision Issues S_ISS
Message S_LIT, S_LIT_LSX
Message Product Application S_LIT_PROD_APPL
Messaging Plan S_MSG_PLAN
Messaging Plan Item S_MSGPLAN_ITM
Objective S_SRC
Offer S_DMND_CRTN_PRG
Period S_PERIOD
Position S_PARTY, S_POSTN
Presentation Details S_PCD_DETAIL
Product S_PROD_INT
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Logical Model ■ Entity Relationship Diagrams and Descriptions
184
Figure 78. Personalized Content Delivery
Title
: L
S P
ers
on
aliz
ed
Co
nte
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live
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uth
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Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 185
Pricing ComparisonThis ERD (shown in Figure 79) illustrates the pricing comparison feature. A competitor's customer is viewed as an opportunity and by creating a quote using that competitor's price list the size of the opportunity can be quantified. Comparison quotes are generated using products and services from the internal price list that are similar to the competitor's offerings, to calculate the savings the customer could achieve by switching from the competitor.
Products and services provided by companies have complex pricing structures including tier-based pricing. Pricing also varies by region, payment method, service type, credit risk, and so on. The tier prices are associated with the attributes of the product or service that is provided.
Table 78 lists the entities in this ERD and their corresponding tables.
Table 78. Pricing Comparison ERD Entities and Tables
Entity Table
Object Class S_VOD, S_VOD_VER
Object Class Extended Attribute S_XA_ATTR
Opportunity S_OPPTY
Price List S_PRI_LST
Price List Item S_PRI_LST_ITEM
Pricing Matrix S_PRI_MTRX
Pricing Matrix Item S_PRI_MTRX_ITEM
Product Extended Attribute S_PROD_INT_XA
Product or Service S_PROD_INT
Product or Service Structure S_PROD_ITEM
Quote S_DOC_QUOTE
Quote Item S_QUOTE_ITEM
Quote Item Extended Attribute S_QUOTE_ITEM_XA
Tier Price Value S_VDISCNT_ITEM
Tier Pricing S_VOL_DISCNT
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186
Figure 79. Pricing Comparison
Title : Pricing ComparisonAuthor : Oracle, Confidential
PRICING MATRIX
PRICING MATRIX ITEM
TIER PRICING
TIER PRICE VALUE
PRICE LISTINTERNAL PRICE LIST
COMPETITOR PRICE LIST
OBJECT CLASS EXTENDED ATTRIBUTE
PRODUCT EXTENDED ATTRIBUTE
PRICE LIST ITEM
INTERNAL ITEM
COMPETITOR ITEM
PRODUCT OR SERVICE
OBJECT CLASS
QUOTE ITEM EXTENDED ATTRIBUTE
OPPORTUNITY
PRODUCT OR SERVICE STRUCTURE
QUOTE
COMPETITOR
COMPARISON
QUOTE ITEM
for
composed of
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part of
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subject of
for
composed of
quotation for
subject of
for
described by
for
subject of
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 187
PricingThis ERD (shown in Figure 80) illustrates the pricing capabilities of Siebel Business Applications, including price lists, pricing matrices, and pricing models, and how they are related to simple and complex products or services to be priced. A price list is made up of price list items, each of which tracks the price for a given product or service. The list prices may be adjusted for certain extended attributes as defined in a specified pricing matrix. They may be adjusted based on changes to a customizable product through component price adjustments. They may also be modified through a specified pricing model made up of pricing factors.
Table 79 lists the entities in this ERD and their corresponding tables.
Table 79. Pricing ERD Entities and Tables
Entity Table
Component Price Adjustment S_PRI_CFG_ITEM
Object Class S_VOD, S_VOD_VER
Object Class Extended Attribute S_XA_ATTR
Price List S_PRI_LST
Price List Item S_PRI_LST_ITEM
Pricing Factor Item S_PRIFCTR_ITM
Pricing Factor Item Attrib S_PRIFCTITM_ATR
Pricing Matrix S_PRI_MTRX
Pricing Matrix Attribute S_PRI_ATTR
Pricing Matrix Item S_PRI_MTRX_ITEM
Pricing Matrix Value S_PRI_MTRX_VAL
Pricing Model S_PRIMDL
Pricing Model Factor S_PRIMDL_FCTR
Product Extended Attribute S_PROD_INT_XA
Product or Service S_PROD_INT
Product or Service Structure S_PROD_ITEM
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Logical Model ■ Entity Relationship Diagrams and Descriptions
188
Figure 80. Pricing
Titl
e : P
ricin
gA
utho
r : O
racle
, Con
fiden
tial
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Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 189
Product PromotionProduct Promotion (shown in Figure 81) provides a system for managing product promotions. Production Promotion allows the user to fully define the promotion based on products, product templates, product attributes, and so on. Product Promotion also allows the user to specify other information for the promotion including the terms, charges, and pricing rules.
Table 80 lists the entities in this ERD and their corresponding tables.
Table 80. Product Promotion ERD Entities and Tables
Entity Table
Conditional Charge Prorate Plan S_AGR_PR_PLAN
Product Promotion S_PROD_INT
Product Promotion Charge S_PROM_CHRG
Product Promotion Item S_PROM_ITEM
Product Promotion Item Attribute S_PROM_ITEM_XA
Product Promotion Item Attribute Value S_PROMITM_VAL
Product Promotion Pricing Matrix Rule S_PROM_PMTRX
Product Promotion Term S_PROMITM_TRMS
Product Promotion Term Description S_PROD_TRM_DESC
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Logical Model ■ Entity Relationship Diagrams and Descriptions
190
Figure 81. Product Promotion
Title
: P
RO
DU
CT
PR
OM
OT
ION
Au
tho
r :
Ora
cle
, C
on
fid
en
tia
l
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Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 191
Product Quality TrackingThis ERD (shown in Figure 82) illustrates the significant entities related to product defect tracking. Defects can be associated with service requests and may have associated activities defined to fix the defect. Associations may be defined with various product or product versions to record which are affected by the defect, which are planned to fix the defect, and which actually fix the defect. Additional relevant associations with external products may be recorded. Defects may be associated with other, related defects.
Table 81 lists the entities in this ERD and their corresponding tables.
Table 81. Product Quality Tracking ERD Entities and Tables
Entity Table
Activity S_EVT_ACT
Defect Symptom S_PRDFCT_SYMP
Employee/Agent S_EMP_PER, S_CONTACT, S_PARTY
Organization Unit S_ORG_EXT, S_PARTY
Product or Service S_PROD_INT, S_PROD_EXT
Product Quality Item S_PROD_DEFECT
Project S_PROJ
Project Item S_PROJITEM
Resolution Item S_RESITEM
Service Request S_SRV_REQ
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Logical Model ■ Entity Relationship Diagrams and Descriptions
192
Figure 82. Product Quality Tracking
Title
: P
rod
uct
Qu
alit
y T
rackin
gA
uth
or
: O
racle
, C
on
fid
en
tia
l
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Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 193
Product RecommendationProduct Recommendation (shown in Figure 83) provides a system for managing product recommendations for up-sell or cross-sell. Product Recommendation allows the user to clearly define the messages, the set of possible responses, and the recommendation itself.
Table 82 lists the entities in this ERD and their corresponding tables.
Table 82. Product Recommendation ERD Entities and Tables
Entity Table
Communication S_COMMUNICATION
Product Message S_PROD_MSG
Product Message Response S_PROD_MSG_RESP
Product Message Variable S_PROD_MSG_VAR
Product or Service S_PROD_INT
Product Recommendation S_PROD_RECMNDTN
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Logical Model ■ Entity Relationship Diagrams and Descriptions
194
Figure 83. Product Recommendation
Title : Product Recommendation Author : Oracle, Confidential
PRODUCT MESSAGE VARIABLE
COMMUNICATION PRODUCT MESSAGE RESPONSE
PRODUCT MESSAGE
PRODUCT RECOMMENDATION
PRODUCT OR SERVICE
actual response for
have
defined for
utilize
displayed via
template for
for
have
recommendation for
recommended via
for
subject of
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 195
Products or ServicesThis ERD (shown in Figure 84) illustrates the significant entities related to a product including product components (product structure), substitute or competitive products (product comparison), the product's vendor, the product line or lines to which the product belongs, and so on. In addition, this diagram illustrates the relationship between products and product prices, as well as the language translations for some of these entities.
Table 83 lists the entities in this ERD and their corresponding tables.
Table 83. Products or Services ERD Entities and Tables
Entity Table
Catalog S_CTLG
Catalog Category S_CTLG_CAT
Class Attribute S_XA_ATTR
Class of Product or Service S_VOD, S_VOD_VER
Language S_LANG
Price List S_PRI_LST
Price List Item S_PRI_LST_ITEM
Product Assembly Port S_PROD_ITEM
Product Line S_PROD_LN
Product or Service S_PROD_INT or S_PROD_EXT
Product or Service Attribute S_PROD_INT_XA
Product Structure S_PROD_ITEM
Vendor S_ORG_EXT, S_PARTY
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Logical Model ■ Entity Relationship Diagrams and Descriptions
196
Figure 84. Products or Services
Title
: P
rod
ucts
or
Se
rvic
es
Au
tho
r : O
racle
, C
on
fid
en
tia
l
VE
ND
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OD
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SS
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Y
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G C
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Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 197
Professional ServicesThis ERD (shown in Figure 85) illustrates how Siebel Business Applications support the planning and execution of Professional Services projects. Projects can be defined for an external or internal client, as the responsibility of one or more internal organizations, subcontracted to one or more partners, associated with a required skill set, and made accessible to one or more positions. The definition of required project team roles allows project billings to be estimated based on the billing rate and the number of hours required from the resource. An employee, a sub-contractor employee or a contact can ultimately fill a team role from the client, but until then, a list of potential project resources can be stored for the project or a specific project team role. Positions and project team roles can be associated with a service billing product to define the billing rate for that entity from a billing rate list. Project issues can be tracked for a project, assigned to a project team role, and detailed as a series of activities. Receivable Invoices billed to the client or payable invoices from subcontractors can be associated with the project.
Table 84 lists the entities in this ERD and their corresponding tables.
Table 84. Professional Services ERD Entities and Tables
Entity Table
Activity S_EVT_ACT
Address S_ADDR_PER
Billing Rate List S_PRI_LST
Employee/Agent S_EMP_PER, S_CONTACT, S_PARTY
Internal/Partner Organization S_ORG_EXT, S_PARTY
Invoice S_INVOICE
Lead Source S_SRC
Opportunity S_OPTY
Organization Unit S_ORG_EXT, S_PARTY
Person S_CONTACT, S_PARTY
Position S_POSTN, S_PARTY
Potential Project Resource S_PROJ_PTL_RSRC
Project S_PROJ
Project Contact S_PROJ_CON
Project Issue S_PROJ_ISS
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Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
198
Figure 85. Professional Services
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Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 199
Public Sector Case Lead ManagementThis ERD (shown in Figure 86) illustrates how an investigative lead is related to incident and case. It shows how a party, such as a person, organization, or group, becomes involved in the investigative lead, and the positions of team members assigned to work on it. This ERD also shows evidence/supporting documentation as the trigger of the investigative lead. The physical object used, location of the investigative lead, as well as the related activity, disease, and service request are shown. This ERD covers the features of applications received from users and their supporting documents as well as their visibility to various organizations.
New features in 8.1 include:
■ Submitted applications are reviewed on the Siebel side and information uploaded from the applications into Siebel objects such as case and contacts.
■ Applications received from users/citizens for benefits, visa, immigration, and so forth are taken into account. The supporting documents for a given application, as well as any scanned images of the application, are stored in file systems. The visibility of an application to various organizations is also managed.
■ Data from the application form, as filled out by the citizen or employee, is transferred to the Siebel application so that the agency has a historical record of the data as submitted at that point in time. Employees will then upload the application into the system. During the upload process, relevant data from the form(s) is imported into the appropriate Siebel contact, household and case records.
Table 85 lists the entities in this ERD and their corresponding tables.
Table 85. Public Sector Case Lead Management ERD Entities and Tables
Entity Table
INVESTIGATIVE CASE LEAD S_CASE_LEAD
PARTY S_PARTY
PERSON S_CONTACT, S_USER, S_CONTACT_PSX
ORGANIZATION/GROUP S_ORG_EXT, S_ORG_GRP_PSX
POSITION S_POSTN
ADDRESS S_ADDR_PER
SERVICE REQUEST S_SRV_REQ
ACTIVITY S_EVT_ACT
CASE S_CASE, S_CASE_PSX
PHYSICAL OBJECT S_ASSET
DISEASE S_DISEASE
EVIDENCE/SUPPORTING DOCUMENT S_EVIDENCE
INCIDENT S_INCIDENT
PERSON DESCRIPTION S_SUBJECT
Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
200
APPLICATION S_PS_APPL
APPLICATION ATTACHMENT S_PS_APPL_ATT
APPLICATION/BUSINESS UNIT VISIBILITY S_PS_APPL_BU
Table 85. Public Sector Case Lead Management ERD Entities and Tables
Entity Table
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 201
Figure 86. Public Sector Case Lead Management
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Siebel Data Model Reference for Industry Applications Version 8.1
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202
Public Sector Contact IdentityPublic Sector Contact Identity (shown in Figure 87) allows you to track the identity of an individual, including personal attributes, marital status changes, place of residence, and so on over time so that the responsible organization can react swiftly to the legality of the individual. Public Sector Contact Identity also tracks the entry and departure information of the individual into and out of the country. Public Sector Contact Identity is used mainly for the purposes of homeland security.
Table 86 lists the entities in this ERD and their corresponding tables.
Table 86. Public Sector Contact Identity ERD Entities and Tables
Entity Table
IDENTITY S_PS_IDENTITY
CREDENTIAL S_PS_CREDENTIAL
STAY S_PS_STAY_LOG
PUBLIC SECTOR CONTACT S_PS_CONTACT
ORGANIZATION/GROUP S_ORG_EXT, S_BU
PARTY, CONTACT S_PARTY, S_CONTACT
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 203
Figure 87. Public Sector Contact Identity
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Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
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Public Sector Evidence ManagementThis ERD (show in Figure 88) illustrates how evidence and supporting documents are related to the incident and case and acts as the trigger of the investigative lead. It shows how a party, such as a person, organization, or group, is included in the evidence and supporting documents. The ERD describes the positions of team members assigned to handle the incident and approve the documents. This ERD also shows how the items are supported by the documents. The location of the incident, physical object used in the incident, as well as the activity and service request related to the evidence are shown.
Table 87 lists the entities in this ERD and their corresponding tables.
Table 87. Public Sector Evidence Management ERD Entities and Tables
Entity Table
EVIDENCE/SUPPORTING DOCUMENT S_EVIDENCE
PARTY S_PARTY
PERSON S_CONTACT, S_USER
ORGANIZATION/GROUP S_ORG_EXT
POSITION S_POSTN
ADDRESS S_ADDR_PER
PHYSICAL OBJECT S_ASSET
QUOTE ITEM S_QUOTE_ITEM
ORDER ITEM S_ORDER_ITEM
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ORDER S_ORDER
SERVICE REQUEST S_SRV_REQ
ACTIVITY S_EVT_ACT
INVESTIGATIVE LEAD S_CASE_LEAD
INCIDENT S_INCIDENT
CASE S_CASE
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 205
Figure 88. Public Sector Evidence Management
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Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
206
Public Sector Incident ManagementThis ERD (shown in Figure 89) illustrates how an incident is related to investigative lead and case. It shows how a party, such as a person, organization, or group, becomes involved in the incident in different roles such as victim, offender, witness, suspect, or owner of the incident. It includes the offense committed and any arrest initiated by the incident or case. The physical object used in the offense, arrest, and incident, as well as the activity and the service request related with the incident, are also shown.
Table 88 lists the entities in this ERD and their corresponding tables.
Table 88. Public Sector Incident Management ERD Entities and Tables
Entity Table
INCIDENT S_INCIDENT
PARTY S_PARTY
PERSON S_CONTACT, S_USER
ORGANIZATION/GROUP S_ORG_EXT
INCIDENT ACCOUNT S_INCIDNT_ACCNT
INCIDENT CONTACT S_INCIDENT_CON
INJURY S_INCTCON_INJRY
INCIDENT VICTIM TYPE S_INCDNT_VCTMTP
CIRCUMSTANCE S_CIRCUMSTANCE
SERVICE REQUEST S_SRV_REQ
ACTIVITY S_EVT_ACT
INVESTIGATIVE LEAD S_CASE_LEAD
CASE S_CASE
PHYSICAL OBJECT S_ASSET
ARREST S_ARREST
ARREST FORCE S_ARREST_FORCE
OFFENSE S_OFFENSE
OFFENSE CRIMINAL ACTIVITY S_OFFENSE_ACT
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 207
Figure 89. Public Sector Incident Management
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Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
208
RevenueThis ERD (shown in Figure 90) illustrates how revenue items are tracked and analyzed in Siebel Business Applications. Revenue Items may be defined for any number of confirmed or likely business transactions such as opportunities, accounts, projects, marketing events or activities, agreements, invoices, and so on. Revenue is generally attributed to a product, service, product line, or some description of the product or service offering. Credit for the revenue can be spread across sales team members by breaking the revenue into a line for each sales team member with their credit amounts. Recurring or incoming revenues over a period of time (weeks, months, or years) can be shown by using the revenue schedule capabilities. A revenue template with detailed items can be created for this purpose.
Table 89 lists the entities in this ERD and their corresponding tables.
Table 89. Revenue ERD Entities and Tables
Entity Table
Agreement S_DOC_AGREE
Agreement Item S_AGREE_ITEM
Invoice S_INVOICE
Invoice Item S_INVC_ITEM
Marketing Event S_SRC
Opportunity S_OPTY
Organization Unit S_ORG_EXT, S_PARTY
Person S_CONTACT, S_PARTY
Position S_POSTN, S_PARTY
Product Line S_PROD_LN
Product or Service S_PROD_INT
Project S_PROJ
Revenue Item S_REVN
Revenue Template S_REVN_TMPL
Revenue Template Item S_REVN_TMPL_ITM
Service Request S_SRV_REQ
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 209
Figure 90. Revenue
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210
Routes and Best Call HoursThis ERD (shown in Figure 91) illustrates how the Siebel Consumer Goods application supports the use of best call hours in the context of retail execution. Simply stated, each external organization or retailer, is part of one or multiple routes which are predefined logical groupings of stores. These routes exist for the purpose of facilitating the visit execution of a mobile field force. To coordinate the most logical order in which these external organizations should be visited, each has a coordinating best call hour that specifies the time(s) at which the retailer should be visited.
Table 90 lists the entities in this ERD and their corresponding tables.
Table 90. Routes and Best Call Hours ERD Entities and Tables
Entity Table
Best Call Hour S_BEST_CALL_HRS
Organization External S_ORG_EXT, S_PARTY
Route S_ACCNTRT
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 211
Figure 91. Routes and Best Call Hours
Title : Routes and Best Call Hours Author : Oracle, Confidential
EXTERNAL ORGANIZATION
RETAILER
OTHER ORGANIZATION
SYNDICATE GROUP
STORE
BEST CALL HOUR ROUTE
defined for
appear onfor
have
part of
made up of
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212
Sales Hierarchy and Credit AssignmentThe Sales Hierarchy Module allows organizations to build sales hierarchies on top of sales territories and to assign sales credits to territories and positions accordingly. A sales hierarchy (shown in Figure 92) consists of sales territories, which are made up of positions and crediting rules. The sales hierarchy can be versioned to accommodate ongoing changes without losing track of its history. A position can be assigned to different territories or the same territory with different start date and end date. A crediting rule can be applied to positions with allocation percentage defined. For a given hierarchy version, the credit assignment engine is able to identify all the positions assigned to the territories and all the applicable crediting rules by effective start date and end date. The crediting rules, their criteria and values are read by Siebel Assignment Manager, which performs the assignments appropriately. The sales hierarchy needs to be approved and validated before taking effect.
Table 91 lists the entities in this ERD and their corresponding tables.
Table 91. Sales Hierarchy and Credit Assignment ERD Entities and Tables
Entity Table
Credit Allocation S_SLSCR_RL_PSTN
Credit Assignment Rule S_SLSCRDT_RULE
Credit Rule Criteria S_SLSCRDT_CRIT
Credit Rule Criteria Value S_SLSCRDT_VAL
Hierarchy Version S_SLS_HIER_VER
Hierarchy Version Territory S_SLS_HIER_TERR
Position S_POSTN, S_PARTY
Position Territory Assignment S_SLSTERR_POSTN
Sales Hierarchy S_SLS_HIER
Sales Territory S_SLS_TERR
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 213
Figure 92. Sales Hierarchy and Credit Assignment
Titl
e : S
ales
Hie
rarc
hy a
nd C
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t Ass
ignm
ent
Aut
hor
: Ora
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214
Sales Volume PlanningThis ERD (shown in Figure 93) illustrates how Siebel Business applications (Consumer Goods) support sales volume planning (SVP). A sales volume plan is the targeted sales volume (cases or currency) for a period. This volume is calculated based on historical data within a period. Algorithms used to calculate the SVP could be a flat percentage change over a period, or it could be a trended volume. While planning, an authorized employee may allocate down an account, or an account product category tree. Prior to allocating, historical data must be aggregated up these trees. After the initial aggregation, allocation and aggregation may occur any number of times until the plan is committed or until historical data within the plan's period is entered into the application.
Table 92 lists the entities in this ERD and their corresponding tables.
Table 92. Sales Volume Planning ERD Entities and Tables
Entity Table
Authorized Product S_ORG_PROD
Authorized Product Detail S_ORG_DIST_LST
Category S_CTLG_CAT
Category Baseline S_CG_CAT_BASELN
Consumption Category S_CG_CAT_CONSUM
Employee S_CONTACT, S_PARTY
External Organization S_ORG_EXT, S_PARTY
Internal Product S_PROD_INT
Marketing Event S_SRC
Period S_PERIOD
Planned Volume S_PROD_BASELINE, S_CG_CAT_BASELN, S_PROD_TARGET, S_CG_CAT_TARGET
Product Baseline S_PROD_BASELINE
Product Consumption S_PROD_CONSUME
Product Line S_PROD_LN
Product Shipment S_PROD_SHIPMENT
Product Target S_PROD_TARGET
Sales Volume Planning Action S_CG_SVP_ACTION
Shipment Category S_CG_CAT_SHIP
Target Category S_CG_CAT_TARGET
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 215
Figure 93. Sales Volume Planning
Title : Sales Volume PlanningAuthor : Oracle, Confidential
PRODUCT MOVEMENT
CATEGORY BASELINE
PRODUCT TARGET
PRODUCT CONSUMPTION
PRODUCT SHIPMENT
PRODUCT BASELINE
CATEGORY TARGET
CATEGORY CONSUMPTION
CATEGORY SHIPMENT
AUTHORIZED PRODUCT
AUTHORIZED PRODUCT DETAIL
MARKETING EVENT
PERIOD
CATEGORY
F-GROUP
PRODUCT INTERNAL
EXTERNAL ORGANIZATION
RETAILER
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STORE
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216
Sample ManagementThis ERD (shown in Figure 94) illustrates how product samples can be tracked in inventory. Inventory is for a particular employee and for a specified period. All transactions involving samples such as disbursement, shipments, and sample orders can be tracked and each active inventory period can be reconciled after a physical inventory count.
Use of samples for product promotion by pharmaceutical companies around the world is governed by local country legislation. The Life Science Sampling, Sample Management and Compliance feature details requirements for sample management and compliance processes in a pharmaceutical company to ensure that the company’s processes comply with regulations. Sample Audit and Compliance Administration functionality enables companies to adhere to government guidelines.
Table 93 lists the entities in this ERD and their corresponding tables.
Table 93. Sample Management ERD Entities and Tables
Entity Table
Audit Report Attachment S_INVADTRPT_ATT
Call S_EVT_ACT
Contact S_CONTACT, S_PARTY
Employee S_EMP_PER, S_CONTACT, S_PARTY
Internal Product S_PROD_INT
Inventory Audit Report S_INV_AUDIT_RPT
Order Item S_SMPL_TXN_ITEM
Person S_CONTACT, S_PARTY, S_USER
Product Inventory S_STOCK_EMP
Sample Order S_SAMPLE_TXN
Sample Transaction S_SAMPLE_TXN
Sample Transfer S_SAMPLE_TXN
Signature Audit S_EMP_AUDITSIGN
Stock Period S_STK_PERD_EMP
Transaction Attachment S_SMPL_TXN_ATT
Transaction Item S_SMPL_TXN_ITEM
Transfer Item S_SMPL_TXN_ITEM
Validation Result S_VALDN_RESULT
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 217
Figure 94. Sample Management
Title
: S
am
ple
Ma
na
ge
me
nt
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tho
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218
Service AgreementThis ERD (shown in Figure 95) illustrates how Siebel Business Applications support service agreements. A service agreement is a contract that entitles one or more contacts at one or more organizations to service or support on one or more items through entitlements. Entitlement items define coverage of products or specified instances of a product. The entitlement can be constrained by a service calendar (to indicate 24x7 coverage, for example), and may be subject to one or more metrics (that describe a guaranteed two-hour response, for example).
Table 94 lists the entities in this ERD and their corresponding tables.
Table 94. Service Agreement ERD Entities and Tables
Entity Table
Account S_ORG_EXT, S_PARTY
Agreement S_DOC_AGREE
Agreement Entitlement S_ENTLMNT
Agreement Item S_AGREE_ITEM
Asset S_ASSET
Contact S_CONTACT, S_PARTY
Entitled Product or Asset S_ENTLMNT_ITEM
Entitled Service S_ENTL_ACT_TYPE
Expense Type S_EXP_ITEM_TYPE
Material S_PROD_INT
Order S_ORDER
Preventive Maintenance S_PM_PLNITM
Price Adjustment S_ENTL_PRDPRI
Product S_PROD_INT
Service Calendar S_SCHED_CAL
Service Metric S_SVC_METRIC
Service Request S_SRV_REQ
Work Type S_PROJ
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 219
Figure 95. Service Agreement
Titl
e :
Ag
ree
me
nt
En
title
me
nt
A
uth
or
: O
racl
e,
Co
nfid
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tial
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220
Service Calendars and Work ShiftsThis ERD (shown in Figure 96) illustrates the structure of service calendars and work shifts. Both are made up of a set of working hours for each day of the week with a single exception calendar defining planned holidays and other exceptional working days. An employee can be assigned to a work shift to define his or her normal working hours with exceptional working or non-working hours expressed as employee exception hours.
Table 95 lists the entities in this ERD and their corresponding tables.
Table 95. Service Calendars and Work Shifts ERD Entities and Tables
Entity Table
Employee S_CONTACT, S_EMP_PER, S_PARTY
Employee Exception Hours S_EXCPT_CAL_HRS
Exception Calendar S_EXCPT_CAL
Exception Calendar Hours S_EXCPT_CAL_HRS
Person S_CONTACT, S_PARTY
Schedule Calendar S_SCHED_CAL
Schedule Calendar Hours S_SCHED_CAL_HRS
Service Calendar S_SCHED_CAL
Work Shift S_SCHED_CAL
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 221
Figure 96. Service Calendars and Work Shifts
Title : Service Calendars and Work ShiftsAuthor : Oracle, Confidential
PERSON
OTHER PERSONEMPLOYEE / AGENT
EMPLOYEE EXCEPTION HOURS
EXCEPTION CALENDAR HOURS
EXCEPTION CALENDAR
SCHEDULE CALENDAR HOURS
SCHEDULE CALENDAR
WORK SHIFT
SERVICE CALENDAR
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222
Service RequestThis ERD (shown in Figure 97) illustrates how service requests are handled as a series of activities, each owned by a specific employee. Relevant information includes the contact who reported the service request, the product with which assistance is requested along with the customer's environment or profile, and specifically which third-party products are in use and relevant to the service request.
Table 96 lists the entities in this ERD and their corresponding tables.
Table 96. Service Request ERD Entities and Tables
Entity Table
Activity S_EVT_ACT
Asset (Product Instance) S_ASSET
External Product Instance S_ORG_PRDEXT
Party S_PARTY, S_ORG_EXT, S_CONTACT, S_USER
Product or Service S_PROD_INT, S_PROD_EXT
Service Region S_SRV_REGN
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 223
Figure 97. Service Request
Titl
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ervi
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stA
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Logical Model ■ Entity Relationship Diagrams and Descriptions
224
ShipmentThis ERD (shown in Figure 98) illustrates the relationship between orders, quote, products, inventory locations, and shipment related to orders. Delivery requests and delivery promises (date of delivery, delivery quantity) can be associated with order items and quote items.
Table 97 lists the entities in this ERD and their corresponding tables.
Table 97. Shipment ERD Entities and Tables
Entity Table
Inventory Location S_INVLOC
Order S_ORDER, S_ORDER_SHIP
Order Item Delivery Request S_ORDPART_REQ
Order Line Item S_ORDER_ITEM
Order Part Movement S_ORDPART_MVMT, S_SHIPMENT_MVMT
Part Movement Type S_PARTMVMT_TYPE
Product Internal S_PROD_INT
Quote S_DOC_QUOTE, S_DOC_ORDER
Quote Item Delivery Promise S_QTE_ITM_DLVRQ
Quote Item Delivery Request S_QTE_ITM_DLVRQ
Quote Line Item S_QUOTE_ITEM
Shipment S_SHIPMENT
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 225
Figure 98. Shipment
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Logical Model ■ Entity Relationship Diagrams and Descriptions
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Siebel AssistantThis ERD (shown in Figure 99) illustrates how Siebel Business Applications support the Siebel Assistant functionality. Personal or corporate sales planning items can be defined to serve as template assessments or template activity plans. Both types of sales planning items can be defined as relevant to one or more sales stages within one or more sales methodologies. A template assessment contains one or more attributes, optionally validated by a set of valid values. Actual Assessments are created from a template assessment during a specific sales stage to assess an opportunity, an account, or a contact. A template activity plan is made up of one or more template activities. Actual activity plans are created from a template activity plan during a specific sales stage to prompt the user to plan certain activities copied from the template activities.
Table 98 lists the entities in this ERD and their corresponding tables.
Table 98. Siebel Assistant ERD Entities and Tables
Entity Table
Account S_ORG_EXT, S_PARTY
Activity S_EVT_ACT
Activity Plan S_EVT_ACT
Activity Plan Template S_TMPL_PLANITEM
Assessment Template S_TMPL_PLANITEM
Assessment S_ASSESS
Assessment Attribute S_ASSESS_ATTRIB
Assessment Attribute Valid Value S_ASSESS_ATTVAL
Assessment Value S_ASSESS_VAL
Employee/Agent S_EMP_PER, S_CONTACT, S_PARTY
Opportunity S_OPTY
Opportunity Stage S_OPTY_STG
Person S_CONTACT, S_PARTY
Sales Methodology S_SALES_METHOD
Sales Stage S_STG
Stage Plan Item S_STG_PLANITEM
Stage Recommendation S_STG_RECOMMEND
Template Activity S_EVT_ACT
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 227
Figure 99. Siebel Assistant
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Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
228
Syndicated DataThis ERD (shown in Figure 100) illustrates how the syndicated data (sales and prescription information) is associated with a period, plan, account, contact, postal code, territory, and area.
Table 99 lists the entities in this ERD and their corresponding tables.
Table 99. Syndicated Data ERD Entities and Tables
Entity Table
Account S_ORG_EXT, S_PARTY
Contact S_CONTACT, S_PARTY
Period S_PERIOD
Plan S_INS_PLAN
Position S_POSTN, S_PARTY
Postal Code S_ZIPCODE
Product S_PROD_INT
Region S_REGION
Syndicated Data S_SYND_DATA
Territory S_ASGN_GRP
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 229
Figure 100.Syndicated Data
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Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
230
Teller AdministrationThis ERD (shown in Figure 101) illustrates how Siebel Financial Services supports the administration of a tellers activities at a financial institution branch. A set of employee, transaction, and container limits are defined for each branch, as well as a multiple containers. Each teller is associated with a set of containers, where they execute different activities and service requests for the customer.
Table 100 lists the entities in this ERD and their corresponding tables.
Table 100. Teller Administration ERD Entities and Tables
Entity Table
Activity S_EVT_ACT
Activity Batch S_FN_ACT_BATCH
Activity Settle S_FN_ACT_SETTL
Bait S_FN_BAIT
Contact S_CONTACT, S_PARTY
Container S_FN_CONTAINER
Container Limits S_FNCONTNR_LMTS
Employee S_EMP_PER, S_CONTACT, S_PARTY
Employee Teller Limits S_EMP_TLR_LMTS
Holdover S_FN_TXN_HLDVR, S_FN_HLDVR_CTF
Organization Unit S_ORG_EXT, S_PARTY
Person S_CONTACT, S_PARTY
Service Request S_SRV_REQ
Transaction Limits S_FN_TXN_LMTS
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 231
Figure 101.Teller Administration
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Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
232
Territory Alignment–Quota AssignmentThis ERD (shown in Figure 102) shows how to set up territory alignment to determine if the end results of quota assignments are expected. It covers assigning quotas to alignments, breaking these assignments down by contacts, accounts, regions, or ZIP codes and changes included in a given alignment.
Table 101 lists the entities in this ERD and their corresponding tables.
Table 101. Territory Alignment–Quota Assignment ERD Entities and Tables
Entity Table
Sales Quota S_SLS_QUOTA
Territory S_TERRITORY
Alignment Terr Quota S_ALGN_QTA_TERR
Alignment Terr/Qta Breakdown S_ALGN_QT_BRKDN
Period S_PERIOD
Alignment Quota S_TERRALGN_QTA
Territory Alignment S_TERRALGN
Contact/Terr Mapping Change S_TERRALGN_CON
Con/Quota Change S_ALGN_QTA_CON
Account/Terr Mapping Change S_TERRALGN_ACCT
Accnt/Quota Change S_ALGN_QTA_ACCT
Geo/Terr Mapping Change S_TERRALGN_REGN, S_TERRALGN_ZIP
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 233
Figure 102.Territory Alignment–Quota Assignment
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Logical Model ■ Entity Relationship Diagrams and Descriptions
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Territory ManagementThis ERD (shown in Figure 103) illustrates that sales territories can be defined geographically, explicitly (using named accounts, contacts, or assets), or a combination of both. Flexible territory hierarchies can be defined to capture the relationship between territories. Multiple positions can be assigned to a given territory and multiple territories can be assigned to a given position. Accounts, contacts, and assets can be assigned to sales representatives within a sales force.
Table 102 lists the entities in this ERD and their corresponding tables.
Table 102. Territory Management ERD Entities and Tables
Entity Table
Account S_ORG_EXT
Account Team Member S_ACCNT_POSTN
Account/Terr Mapping S_TERR_ACCNT
Asset S_ASSET
Asset Team Member S_ASSET_POSTN
Asset/Terr Mapping S_TERR_ASSET
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Contact Team Member S_POSTN_CON
Division S_ORG_EXT
Geo/Terr Mapping S_TERR_ZIP, S_TERR_REGION
Position S_POSTN
Position Territory Assignment S_TERR_POSITION
Region S_REGION
Territory S_TERRITORY
Territory Hierarchy S_TERR_HIER
Territory Version S_TERRHIER_NODE
Zipcode (None)
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 235
Figure 103.Territory Management
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Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
236
Territory Management - Consumer SectorTerritory Management - Consumer Sector (CS), shown in Figure 104, allows multiple representatives to call on the same account to carry out different roles on a regular basis. The Territory Management module within Siebel Consumer Goods supports a system for creating territories and modifying them to meet the needs of the consumer goods industry.
Table 103 lists the entities in this ERD and their corresponding tables.
Table 103. Territory Management - CS ERD Entities and Tables
Entity Table
Account S_ORG_EXT
Account Team Member S_ACCNT_POSTN
Account Team Role S_ACCNT_POSROLE
Account/Terr Mapping S_TERR_ACCNT
Activity S_EVT_ACT
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Catalog Category S_CTLG_CAT
Contact S_CONTACT
Contact Team Member S_POSTN_CON
Contact/Terr Mapping S_TERR_CON
Division S_ORG_EXT
Position S_POSTN
Position Territory Assignment S_TERR_POSITION
Position Role (LOV type TERR_POSITION_ROLE)
Territory S_TERRITORY
Territory Hierarchy S_TERR_HIER
Territory Position Role S_TERR_POS_ROLE
Territory Version S_TERRHIER_NODE
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 237
Figure 104.Territory Management - Consumer Sector
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Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
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Territory Management - Life SciencesFor Life Science companies, a key business process is territory alignment (sales force alignment). This ERD (shown in Figure 105) illustrates how Territory Alignments can be defined encompassing territories, sales representatives, business rules, territory roll-ups, and so on. Historical alignments can be maintained for reference and comparison. Future alignments can be staged and analyzed concurrently, thus facilitating simultaneous evaluation of multiple strategies for a sales force.
Table 104 lists the entities in this ERD and their corresponding tables.
Table 104. Territory Management - LS ERD Entities and Tables
Entity Table
Account S_ORG_EXT
Account/Terr Mapping Change S_TERRALGN_ACCT
Asset S_ASSET
Asset/Terr Mapping Change S_TERRALGN_AST
Business Unit S_BU
Contact S_CONTACT
Contact/Terr Mapping Change S_TERRALGN_CON
Division S_ORG_EXT
Geo/Terr Mapping Change S_TERR_REGION, S_TERR_ZIP
Position S_POSTN
Position Territory Assignment Change S_TERRALGN_PSTN
Region S_REGION
Territory S_TERRITORY
Territory Alignment S_TERRALGN
Territory Alignment Condition S_TERRALGN_COND
Territory Hierarchy S_TERR_HIER
Territory Version S_TERRHIER_NODE
Zipcode (None)
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 239
Figure 105.Territory Management - Life Sciences
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Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
240
Textile, Apparel, and FootwearThis ERD (shown in Figure 106) illustrates how Siebel Business Applications support the assortment planning process in the textile, apparel, and footwear industries. A retailer can define the products that are sold in each season, then associate each product with one or more market segments to define recommended product assortments. Rather than complicating the assortment by specifying product entries for each combination of one or two attributes in which a style is manufactured (such as size or color), the attributes can be specified through a seasonal or nonseasonal product option range (for example, a shirt size range of S, M, L, and XL). The retailer can then further specify recommended product option mixes that indicate the proportion of each product option attribute value to deliver when ordering a style (for example, a mix preference of 20% S, 30% M, 30% L, and 20% XL), or each retail customer can create its own mix preferences. When creating an assortment plan for a season, the retail customer chooses the styles from the recommended product assortment for the season, modifies the assortment to fit its customers, and chooses the desired product option mix for each product option. The total ordered quantity of each style is then further broken down into the quantity to be delivered in each subperiod within the season (for example, each week in the season). This assortment plan can then serve as a guideline for ordering throughout the season or even facilitate the generation of orders in each delivery period in the season.
The shaded subtypes in this diagram indicate examples of the types of data that may be found within a supertype. They are not intended to indicate strict subtypes.
Table 105 lists the entities in this ERD and their corresponding tables.
Table 105. Textile, Apparel, and Footwear ERD Entities and Tables
Entity Table
Marketing Segment S_MKT_SEG
Order S_ORDER
Order Item S_ORDER_ITEM
Organization External S_ORG_EXT
Period S_PERIOD
Period Relationship S_PERIOD_REL
Product Attribute Type S_LST_OF_VAL
Product Attribute Value S_LST_OF_VAL
Product Option Mix Preference S_PROD_OPT_MIX
Product Option Mix Proportion S_PROD_OPT_PCT
Product Option Range S_PROD_OPTION
Product Option Range Member S_PROD_OPT_VAL
Quote S_DOC_QUOTE
Quote Item S_QUOTE_ITEM
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 241
Figure 106.Textile, Apparel, and Footwear
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Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
242
Time SheetThis ERD (shown in Figure 107) illustrates how Siebel Business Applications track employee time sheets. Employees can track time spent for client billing or for other purposes. Time can be entered for projects, activities, service requests, and so on. These time units can then be aggregated into time sheets through time sheet lines. A time sheet is reported for a specified reporting period and lists time spent on specific project or nonproject work such as vacation, sick leave, training, and so on. Each time sheet line is specific to a given day within the reporting period.
Table 106 lists the entities in this ERD and their corresponding tables.
Table 106. Time Sheet ERD Entities and Tables
Entity Table
Activity S_EVT_ACT
Organization Unit S_ORG_EXT, S_PARTY
Period S_PERIOD
Person S_CONTACT, S_PARTY
Project S_PROJ
Project Team Role S_PROJ_RSRC
Service Request S_SRV_REQ
Time Unit S_TMSHT_ITEM
Timesheet S_TMSHT
Timesheet Approval S_TMSHT_APPR
Timesheet Line S_TMSHT_LN
Work Type S_PROJ
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 243
Figure 107.Time Sheet
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Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
244
Trade PromotionsThis ERD (shown in Figure 108) illustrates the planning and execution of a consumer goods promotion, including definition of promotion-products, promotion-accounts, and promotion-account-products. Also supported are promotion payments, promotion agreements, and observations of store conditions.
Table 107 lists the entities in this ERD and their corresponding tables.
Table 107. Trade Promotions ERD Entities and Tables
Entity Table
Account S_ORG_EXT, S_PARTY
Contract S_D0C_AGREE, S_DOC_QUOTE, S_ORDER
Contract Item S_AGREE_ITEM, S_QUOTE_ITEM, S_ORDER_ITEM
Fund Allocation S_MDF_ALLOC
Internal Product Presence S_ORG_PROD
Marketing Development Fund S_MDF
Marketing Event or Activity S_SRC, S_SRC_CHNL
Note S_NOTE_SRC
Order S_ORDER
Other Contract S_DOC_AGREE, S_DOC_QUOTE
Person S_CONTACT, S_PARTY
Product S_PROD_INT, S_PROD_EXT
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 245
Figure 108.Trade Promotions
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Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
246
Training Curriculum CourseThis ERD (shown in Figure 109) illustrates the entities and relationships relevant to the training business function. A training curriculum is made up of one or more training courses, which are offered through one or more course offerings. Both courses and curriculums target one or more audience types and have literature associated with them. A person can be registered for one or more course offerings. Tests that may be defined for one or more course offerings, including test questions and possible answers. Tests taken by an Individual contain the answer given by that person to each question and the score achieved by that person for each question.
Table 108 lists the entities in this ERD and their corresponding tables.
Table 108. Training Curriculum Course ERD Entities and Tables
Entity Table
Catalog Category S_CTLG_CAT
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Employee Course S_EMP_CRSE
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Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 247
Figure 109.Training Curriculum Course
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Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
248
Training Test EngineThis ERD (shown in Figure 110) illustrates the entities and relationships relevant to the training test engine business function. Tests may be defined for one or more course offerings, or for one or more courses, including test questions and possible answers, and may be available in one or more languages. Each test question can be either determined in advance or pulled from a question pool at run time. Tests taken by an Individual contain the exact question presented to the individual, the individual's answer to each question, and the score achieved by that person for each question. It also keeps track whether the question has been attempted.
Table 109 lists the entities in this ERD and their corresponding tables.
Table 109. Training Test Engine ERD Entities and Tables
Entity Table
Course/Course Offering Test S_CRSE_OFFR_TST
Event Location S_EVTLOC
Individual’s Test S_CRSE_TSTRUN
Individual’s Test Answer S_CRSE_TSTRUN_A
Individual’s Test Category S_TSTRUN_CATSTS
Individual’s Test Question S_CRSE_TSTRUN_Q
Marketing Event or Activity S_SRC
Pool Question S_POOL_QUES
Product or Service S_PROD_INT
Question/Possible Answer S_CRSE_TST_ANSR
Question/Question Pool, Question Pool, Question S_TST_QUES
Question Category LOV
Test Available Language S_CRSE_TST_LANG
Test Question S_CRSE_TST_QUES
Topic/Objective S_CRSE_TOPIC
Training Course S_PROD_INT_CRSE, S_PROD_INT
Training Course Offering S_SRC_EVT, S_SRC
Training Test S_CRSE_TST
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 249
Figure 110.Training Test Engine
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Siebel Data Model Reference for Industry Applications Version 8.1
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250
Universal Customer MasterThis ERD (shown in Figure 111) illustrates how Universal Customer Master works with external systems and the Siebel application. This ERD also shows the UCM engine schematics including the survivorship rule set and its relationship with repository-based information, UCM objects, and operations such as deduplication, merge, and the keeping of history.
Table 110 lists the entities in this ERD and their corresponding tables.
Table 110. Universal Customer Master ERD Entities and Tables
Entity Table
Attribute Group S_UCM_ATGP
Attribute Group Field Mapping S_UCM_ATGP_FLD
Attribute Group Rule S_UCM_ATGP_RULE
Attribute Group Update History S_UCM_CON_ATGP, S_UCM_ORG_ATGPS_UCM_OGP_ATGP
Confidence Level S_UCM_CONF_LVL
External Information System S_CIF_EXT_SYST
External Information System Mapping S_CIF_CON_MAP, S_CIF_ORGRP_MAP, S_CIF_ORG_MAP
External System Privilege S_CIF_SYS_DTL
Rule Set S_UCM_RULE_SET
UCM Address S_UCM_ADDR_PER
UCM Asset S_UCM_ASSET
UCM Child Object S_UCM_CON_CHILDS_UCM_OGP_CHILDS_UCM_ORG_CHILD
UCM Deduplication S_UCM_DEDUP
UCM Merge History S_UCM_CON_MERGE, S_UCM_ORG_MERGE
UCM Object S_UCM_CONTACTS_UCM_ORG_EXTS_UCM_ORGGRP
UCM Privacy S_UCM_PRIVACY
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 251
Figure 111.Universal Customer Master
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Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
252
VehicleThis ERD (shown in Figure 112) illustrates how Siebel Automotive tracks the configuration and relationships associated with a vehicle. Vehicles represent a physical asset based on a product that may be related to one or more contacts, organizations, accounts, and positions. In addition to the attributes inherited from the product upon which it is based, a vehicle may also have one or more options (also products) associated with it. A vehicle's sales history, financial detail, service history and service requests can be tracked through its life cycle.
Table 111 lists the entities in this ERD and their corresponding tables.
Table 111. Vehicle ERD Entities and Tables
Entity Table
Asset S_ASSET
Contact S_CONTACT, S_PARTY
Dealer S_ORG_EXT, S_PARTY
Features S_PROD_SPEC
Financial Detail S_VHCL_FIN_DTL
Installed Option S_ASSET_REL
Option S_PROD_REL
Position S_POSITION, S_PARTY
Product S_PROD_INT
Product Features S_PROD_SPEC
Sales History S_VHCL_SALES
Service History S_VHCL_SRV
Service Request S_SRV_REQ
Specifications S_PROD_SPEC
Vehicle S_ASSET, S_ASSET_ATX
Vehicle Product S_PROD_INT
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 253
Figure 112.Vehicle
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Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
254
Vehicle CollectionThis ERD (shown in Figure 113) illustrates how the Siebel application helps an automotive captive finance company deploy collections processes. Relevant information includes that a customer's car can be impounded by a government agency, or a customer might abandon the car during the life cycle of vehicle ownership. Captive Finance allows the capture of multiple promises to pay (PTPs) for a given account. When the customer breaks a promise to pay, a Service Request is created for an impound, a repossession, or a cure process.
Table 112 lists the entities in this ERD and their corresponding tables.
Table 112. Vehicle Collection ERD Entities and Tables
Entity Table
Bankruptcy S_BANKRUPTCY, S_BK_PARTY
Service Request S_SRV_REQ, S_SRV_REQ1_FNX
Promise to Pay S_CF_PTP
Party S_PARTY, S_ORG_EXT, S_CONTACT, S_USER
Asset, Financial Account S_ASSET
Vehicle Insurance S_CF_INSURANCE
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 255
Figure 113.Vehicle Collection
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Siebel Data Model Reference for Industry Applications Version 8.1
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256
Vehicle FinancingAsset financing (shown in Figure 114) refers to the niche area of capital financing where an asset is converted into a working cash flow in exchange for a security interest in the asset. For example, an auto dealer might offer a customer a lease option, where the customer pays a fixed monthly charge in exchange for using the vehicle for a predetermined period of time. In this form of leasing, the lessee has the right to use the vehicle, but does not own the vehicle. The lessee pays an up-front cost and pays monthly payments to get the right to use the vehicle. At the end of the lease, the lessee usually has several options: to buy the vehicle or pay the end-of-lease cost and walk away. The lessor must now deal with remarketing the vehicle. The lessor can lease it to another lessee or auction the vehicle to dealers or consumers.
Table 113 lists the entities in this ERD and their corresponding tables.
Table 113. Vehicle Financing ERD Entities and Tables
Entity Table
Asset S_ASSET
Contract S_DOC_AGREE
Financial Account S_ASSET
Financial Account State S_FN_ACCNT_STAT
Historical Auction Price S_VHCL_AUC_REF
Historical FMV Price S_VHCL_FMV_REF
Historical Residual Value S_VHCL_RSDL_REF
Product S_PROD_INT
Service Request S_SRV_REQ
Vehicle Consignment S_VHCL_CNSGNMNT
Vehicle Consignment Details S_VHCL_CNSGNDTL
Vehicle Consignment Fees S_VHCL_CNSGNFEE
Vehicle FMV S_VHCL_FMV
Vehicle Inspection S_VHCL_INSPCTN
Vehicle Inspection Charges S_VHCL_INSPCHRG
Vehicle Option at Lease S_FNACC_AST_OPT
Vehicle Title Log S_VHCL_TITLELOG
Vehicle Turn In S_VHCL_TURN_IN
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 257
Figure 114.Vehicle Financing
Titl
e : V
ehic
le F
inan
cing
Aut
hor
: Ora
cle
, Con
fiden
tial
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Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
258
Vehicle SalesThis ERD (shown in Figure 115) illustrates the vehicle sales process at automotive dealerships. A prospective buyer could come into a dealership as a result of a marketing activity by the dealership such as an advertisement campaign, direct mailer, and so on. This could result in an opportunity to sell a vehicle to the prospective buyer. A showroom log entry is created by a sales representative to record the visit of the prospective buyer. The sales representative could call and pursue the opportunity with the prospect. If the vehicle is sold, the sale is recorded with the team of sales representatives involved in the sale. The sale data could be made visible to affiliated dealerships.
Table 114 lists the entities in this ERD and their corresponding tables.
Table 114. Vehicle Sales ERD Entities and Tables
Entity Table
Contact Access Log S_CON_ACCSS_LOG
Employee S_EMP_PER, S_CONTACT, S_USER
Marketing Event or Activity S_SRC
Opportunity S_OPTY, S_OPTY_ATX
Organization S_ORG_EXT, S_BU
Person S_CONTACT, S_CONTACT_ATX, S_CONTACT_BU
Showroom Log Entry S_COMM_LOG
Vehicle S_ASSET, S_ASSET_ATX
Vehicle Sale S_VHCL_SALES, S_VHCL_SALES_BU, S_VHCL_SALE_EMP
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 259
Figure 115.Vehicle Sales
Titl
e : V
ehic
le S
ales
Aut
hor
: Ora
cle
, Con
fiden
tial
VE
HIC
LE S
ALE
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OW
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Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
260
Versioned Object DefinitionVersioned Object Definition (shown in Figure 116) provides a system for managing the versioned objects in the system including Products, Product Templates (Classes), Attributes, Context Variables, and so on. Versioned Object Definition replaces the Product Configurator infrastructure tables in all previous releases.
Table 115 lists the entities in this ERD and their corresponding tables.
Table 115. Versioned Object Definition ERD Entities and Tables
Entity Table
Attribute Definition S_ISS_ATTR_DEF
Attribute Value S_ISS_ATTR_VAL
Joint Workspace S_ISS_JWS
Joint Workspace Item S_ISS_JWS_ITEM
Object Attribute S_ISS_OBJ_ATTR
Object Attribute Value S_ISS_OBATR_VAL
Object Definition S_ISS_OBJ_DEF
Object Definition S_VOD
Versioned Object Definition Version S_VOD_VER
Logical Model ■ Entity Relationship Diagrams and Descriptions
Siebel Data Model Reference for Industry Applications Version 8.1 261
Figure 116.Versioned Object Definition
Title
: V
ers
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tho
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Siebel Data Model Reference for Industry Applications Version 8.1
Logical Model ■ Entity Relationship Diagrams and Descriptions
262
WarrantyThis ERD (shown in Figure 117) illustrates how Siebel Business Applications tracks product warranty coverages. Warranty coverage is provided by an organization (often the vendor of the product) and covers one or more products that are part of a covered product line. The products covered under the warranty coverage may be specified directly through product warranty coverage entries or indirectly through product line warranty coverages (which specifies coverage for the products that compose the product line). Warranty service may be provided by one or more authorized service providers. The various warranty coverages applicable to an asset throughout its life are tracked, and may be applied to fully or partially compensate the service provider for service requested in a service order.
Table 116 lists the entities in this ERD and their corresponding tables.
Table 116. Warranty ERD Entities and Tables
Entity Table
Asset S_ASSET
Asset Warranty Coverage S_ASSET_WRNTY
Order S_ORDER
Order Item S_ORDER_ITEM
Organization Unit S_ORG_EXT, S_PARTY
Product S_PROD_INT
Product Line S_PROD_LN
Product Line Warranty Coverage S_PRDLN_WRNTY
Product Warranty Coverage S_PROD_WRNTY
Warranty Coverage S_WRNTY_CVRG
Warranty Service Provider S_WRNTY_SRV_ORG
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4 Physical Model
The Siebel physical model encompasses the tables, their columns, and their indexes. This chapter covers the following topics.
■ “Data Model Naming Conventions” on page 265
■ “Data Model Type Definitions” on page 268
■ “Columns of Numeric Physical Type” on page 272
■ “Siebel System Fields” on page 272
■ “INTEGRATION_ID Columns” on page 273
■ “Include Only Field” on page 273
■ “Siebel Repository” on page 273
■ “Database Schema Version” on page 274
■ “Limit Checking for Data Types” on page 274
■ “Validating the Siebel Schema” on page 274
■ “Party Model Unifies Access to Data” on page 275
■ “Generating a Report about Tables” on page 275
Data Model Naming ConventionsThis topic describes:
■ Table Naming Conventions
■ Index Naming Conventions on page 267
■ Column Naming Conventions on page 267
■ Abbreviations Used in the Physical Model Listings on page 268
Table Naming ConventionsTables in the Siebel database use a three-part naming convention. The syntax is: PREFIX_NAME_SUFFIX.
PREFIX Table names in Siebel Business Applications have a one- to three-letter prefix (EIM_, S_, W_, and so on) to distinguish them from other tables in your application.
NAME A unique table name that is generally an abbreviation of the entity supertype name.
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The prefix indicates the part of the Siebel schema to which a table belongs. Table 117 provides some of the prefixes and their descriptions.
The suffix indicates a table type. Table 118 provides some of the suffixes and their descriptions.
SUFFIX A supertype name may be followed by the entity subtype. For example, the supertype EVT (event) has ACT (activity) as one of its subtypes. Thus, the name becomes S_EVT_ACT.
Table 117. Table Prefixes
Prefix Meaning
EIM_ Interface tables for Siebel Enterprise Integration Manager.
S_ Siebel base table. (Exception: Tables with names of the form S_<name>_IF are obsolete interface tables.)
W_ Oracle Business Analytics Warehouse table, described in Oracle Business Analytics Warehouse Data Model Reference.
Table 118. Base Table Suffixes
Suffix Meaning
_ATT File attachment table.
_REL A table that supports a many-to-many relationship from an entity back to itself.
_SS A table that stores Siebel-to-Siebel integration information.
_V A table that represents a database view.
_X One-to-one extension table, available for customers to add attributes to the Siebel database.
_XA A table that stores extended attributes associated with an object class.
_XM One-to-many extension table, available for customers to add attributes to the Siebel database.
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Index Naming ConventionsIndexes are named the same as the table on which they are created plus a one- to four-character suffix as shown in Table 119.
CAUTION: Before modifying or deleting indexes, create a service request (SR) on OracleMetaLink 3. Modifying or deleting indexes can negatively affect the performance of Siebel Business Applications and may render it unusable. Alternatively, you can phone Global Customer Support directly to create a service request or get a status update on your current SR. Support phone numbers remain the same and are listed on OracleMetaLink 3.
Column Naming ConventionsSuffixes are used to indicate columns that must contain specific values. Table 120 shows the standard suffixes for column names and their possible values.
Table 119. Standard Index Suffixes
Suffix ValueUnique or Not Unique
_F# Foreign key index. Not unique
_P# Primary key index. Unique
_U# Primary key index of the user. Unique
_V# Special routing visibility rule index; usually on primary child foreign key and system foreign key columns not ordinarily indexed (for example, primary address, primary contact, creator, and so on).
Not unique
_M# Miscellaneous index. Any index that does not fit into one of the above categories.
Not unique
Table 120. Standard Column Suffixes
Suffix Value
_AMT This column contains a currency amount.
_CD The column value is based on the contents of the List of Values (LOV).
_DT This column contains a date or datetime value.
_FLG This column contains a Boolean value where Y indicates Yes or True; N indicates No or False.
_ID This column contains ROW_ID values.
_NUM This column contains a number or an identifying alphanumeric value.
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Abbreviations Used in the Physical Model ListingsDescriptions that appear in the physical model listings may use the abbreviations shown in Table 121.
Data Model Type DefinitionsThis topic contains the following type definitions:
■ Table Type Definitions on page 269
■ Table Status Definitions on page 270
■ Column Type Definitions on page 271
■ Domain Type Definitions on page 271
_TEXT This column contains text data.
_TM This column contains a time value.
_TS This column contains a timestamp value.
Table 121. Physical Model Listing Abbreviations
Abbreviation or Phrase Meaning
fk Foreign key; a column that references a primary key of another table.
pk Primary key; the unique row identifier of a table.
SEA Siebel Enterprise Applications.
Siebel System Field One of the Siebel Enterprise Applications system fields described in Table 126 on page 272.
Table 120. Standard Column Suffixes
Suffix Value
Physical Model ■ Data Model Type Definitions
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Table Type DefinitionsTable 122 provides descriptions of the types of tables in the Siebel database.
Table 122. Table Types in the Siebel Database
Table Type Description
Data (Intersection)
Data (Intersection) tables contain application or end-user data. An intersection table implements a many-to-many relationship between two data tables. The name of an intersection table is usually composed by concatenating the two table names, abbreviated if needed. For example S_OPTY_POSTN is the intersection table between tables S_OPTY and S_POSTN. Intersection tables cannot be extended using extension tables, but can be extended using extension columns, subject to database restrictions.
Data (Private) Data (Private) tables contain application administration or system data. Private tables cannot be extended using extension tables or extension columns.
Data (Public) Data (Public) tables contain application or end-user data. Public data tables can be extended using extension tables and, subject to database restrictions, extension columns.
Database View Database View objects appear as tables with regular columns. These tables represent database views. Objects of this table type are not created by the ddlimp Siebel database utility. Underlying views are created by SQL scripts during install and upgrade.
Dictionary S_APP_VER is the only table in this category. This table has only one row and contains information about the application such as major and minor version, application name, unicode flag, and so on. This table contains information about the data dictionary.
Extension Extension tables implement a one-to-one relationship with a data table to provide additional columns to the data table. These tables are named with an _X suffix and contain generic columns with the ATTRIB_ prefix, which are useful to define customized fields in a business component. These tables can be further extended using extension columns, subject to database restrictions.
Note that there are also tables that implement a many-to-one relationship to a data table. Those tables have an _XM suffix and their columns have generic names with the ATTRIB_ prefix. However, they are not considered extension tables. Their type is Data (Public).
Extension (Siebel) Extension (Siebel) tables also implement a one-to-one relationship with a data table to provide additional columns to the data table. However, these columns are configured in advance in Siebel Business Applications. Do not use extension tables for any other purpose. These tables can be extended using extension columns, subject to database restrictions, but cannot be extended through extension tables.
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NOTE: Tables of the following types: Data(Public), Data(Intersection), Extension(Siebel), and Extension are designed to hold user data. These tables, as well as some of their columns, are occasionally marked as obsolete in the comments whenever they are no longer used by the current version of Siebel Business Applications. The status of the table or column indicates the support that will be provided for it in future versions of the Siebel database schema, as shown in Table 123.
Table Status DefinitionsTable 123 provides descriptions of the types of table status in the Siebel database.
External External tables are tables that reside outside the Siebel database. The Siebel object manager provides some support for accessing data in these tables through business components. In Siebel Tools, the Table object type has properties that support external tables.
Interface Interface tables are EIM tables, which are used when moving data between the Siebel application and external applications.
Log Log tables are used to log events. There are three Log tables: S_DCK_INST_LOG, S_PROC_INST, and S_PROC_INST_LOG.
Repository Repository tables contain information about the Siebel Repository. Data in some of these tables may get compiled into the SRF files.
Virtual Table Virtual tables represent database tables or data in an operating system file that resides outside the Siebel database. Virtual business components are defined on these tables.
Warehouse Warehouse tables are used by Oracle Business Analytics in the Oracle Business Analytics Warehouse table. These tables have names starting with 'W_'.
Table 123. Table Status Definitions
Table Status Description
Active Actively used and supported in Siebel Business Applications.
Inactive Dropped or removed from Siebel Data Model and no longer supported. Customers must remove every reference to these tables or columns in their configurations.
EOL End of Life. Supported as is in this release but will be dropped in a future release of Siebel Business Applications. Use alternate active tables or columns.
Not Used Not currently used by Siebel Business Applications, but may be used by customers.
Table 122. Table Types in the Siebel Database
Table Type Description
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Column Type DefinitionsTable 124 provides descriptions for the types of columns in the Siebel database.
Domain Type DefinitionsTable 125 provides descriptions for the domain types of certain columns in the Siebel database.
Table 124. Column Types in the Siebel Database
Column Type Description
Data (Public) This is the general type for most columns.
Denormalized This is the type for a column that holds a value denormalized from another column. Denormalized columns are only supported in special situations and cannot be added as part of customization.
Extension These are columns that belong to an extension table or extension columns in a base table. Those columns are used to define customized fields in a business component.
System This is the type for System Fields, which are described in Table 126 on page 272.
Table 125. Domain Types
Domain Type Meaning Domain Contains
FK Foreign Key column The name of the table referenced by this Foreign Key column.
PC Primary Child The name of the table in which the Primary Child is found. For example, an account (S_ORG_EXT) may be associated to multiple industries (S_INDUST) through the intersection table S_ORG_INDUST. One of these industries is the primary industry of the account: column S_ORG_EXT.PR_INDUST_ID points to the foreign key column INDUST_ID of the primary child table S_ORG_INDUST (the column S_ORG_INDUST.INDUST_ID is a foreign key to the base table S_INDUST and so it points to S_INDUST.ROW_ID).
LOV List of Values The intended List of Values type for this column. List of values types are defined in the table S_LST_OF_VAL accessible through Siebel Tools: Screens > System Administration > List of Values.
LOVB List of Values Bounded
The List of Values type against which this column is validated. In the LOVB case, end users must specify a value from the list, whereas in the LOV case, the user can enter a value not contained in the list.
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Columns of Numeric Physical TypeColumns of a numeric physical type must have the properties Precision and Scale set, for example: Number (22, 7), or Number (10, 0). The first value (22 and 10, in these examples) represents the precision, which is the total length of the column including the decimal places. The second number (7 and 0, in these examples) represents the scale, which are the decimal places after the decimal point. Siebel Tools sets the Length property to 22 by default; Length is a required column in Siebel Tools, but this property does not play any role in columns of a numeric physical type.
Siebel System FieldsEvery Siebel table contains the system fields described in Table 126. Do not alter the contents of these fields.
MLOV Multilingual List of Values
The List of Values type against which this column is validated, in multiple languages. End users must specify a value from the list, but see the values in their preferred language.
MLS Multiple Language Support
The name of the table in which the translation in an alternate language can be found.
DNRM Denormalized The path to the original column, used by the Object Manager to synchronize the values, in the form of [foreign key column].[original column]. For example, the ACCNT_NAME column of table S_ACCNT_POSTN is denormalized; its domain is [OU_EXT_ID].[NAME]. In other words, the contents of column NAME of the table referenced by OU_EXT_ID (S_ORG_EXT) are replicated into column ACCNT_NAME of table S_ACCNT_POSTN. Denormalization is used to improve query performance.
(blank) There is no domain specified for this column.
Table 126. Siebel System Fields
Column Name Description
CONFLICT_ID Unique value used to resolve Siebel remote routing conflicts if necessary; otherwise, value is zero.
CREATED Date the record was entered.
CREATED_BY User who entered the record (foreign key to S_USER).
DCKING_NUM No longer used.
Table 125. Domain Types
Domain Type Meaning Domain Contains
Physical Model ■ INTEGRATION_ID Columns
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INTEGRATION_ID ColumnsMany tables contain a column called INTEGRATION_ID for back office integration. Normally, customers use this column to store the unique reference identifiers for corresponding records in the back office application. These columns are currently used by the Siebel SAP R/3 Connector.
The S_ADDR_ORG.INTEGRATION2_ID and INTEGRATION3_ID columns have been created for integration with Oracle back office applications. The INTEGRATION2_ID column is used to store the Oracle BILL TO SITE ID, and the INTEGRATION3_ID column is used to store the Oracle SHIP TO SITE ID.
Include Only FieldInclude Only is an index column field, and is either blank or checked. It applies only to DB2. When checked, it adds the column into the leaf pages of the unique index. This avoids access to table pages when the column is the only other piece of data retrieved from the table other than the indexed columns. Included columns do not contribute to the unique constraint.
Siebel RepositorySiebel Business Applications includes a set of tables referred to as the Siebel repository tables. These tables store the full definition of a given configuration of Siebel Business Applications, including the database schema and the client configuration. As with other Siebel tables, do not manipulate information in the Siebel repository tables directly. Instead, use Siebel Tools. For more information on how to use Siebel Tools, see Using Siebel Tools. To learn more about the information stored in the repository, see Siebel Object Types Reference.
DB_LAST_UPD Date and time the record was last changed in the database.
DB_LAST_UPD_SRC Source of the instance or operation that changed the record in the database.
LAST_UPD Date and time the record was last changed.
LAST_UPD_BY User who last changed record (foreign key to S_USER).
MODIFICATION_NUM Internally incremented number used for locking and to identify records for incremental updates of the Siebel Business Data Warehouse.
ROW_ID Unique row identifier.
Table 126. Siebel System Fields
Column Name Description
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Database Schema VersionEach Siebel Business Applications database installation is stamped with a database schema version. You can learn the schema version of a Siebel installation by choosing Help > Technical Support from your Siebel client. The schema version is listed in the format 41.XX.YY.ZZ, where XX, YY, and ZZ are one or two digit integers.
Limit Checking for Data TypesThe Object Manager imposes limit checking on data of specific types to make sure that every input, regardless of its source, is within specified limits (shown in Table 127). Sources of inputs include Oracle’s Siebel application, EIM, and connectors. For example, if you do a bulk import using EIM, you must make sure the dates are within the specified range, otherwise the Object Manager returns an SQL error for each out-of-range date.
Validating the Siebel SchemaTo make sure that there are no inconsistencies between the Siebel Database Server and the physical database schema, use the Siebel Server utility dbchck.exe (Windows) or dbchck (UNIX). You can use the dbchck utility to validate data relationships, including foreign keys and the list of values. You can also use the DICTUTL utility to verify that all doc objects and rule definitions are correct. For more information about how to use these utilities, see Siebel Enterprise Integration Manager Administration Guide.
Table 127. Input Limits on Data Types
Data Type Limit Checking
Dates Dates must be in the range of January 1, 1753 to December 31, 4712.
Long Maximum size of 16K
Text Maximum size of 16K
CLOB Maximum size of 128K
Physical Model ■ Party Model Unifies Access to Data
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Party Model Unifies Access to DataThe party model is a means of unifying all access to data about relationships. This covers relationships between your company and people (contacts, employees, partner employees, users) and other businesses (accounts, divisions, organizations, partners). The base table for all such access is S_PARTY. Related tables are implicitly joined as extension tables. Table 128 lists the extension tables and their corresponding EIM interface tables.
Because the extension tables are implicitly joined to S_PARTY, you do not need to configure anything to access them through S_PARTY. Some data types have a many-to-many relationship. For example, any contact can be associated with multiple accounts or partners. To model these relationships there are preconfigured intersection tables: S_PARTY_PER and S_PARTY_REL. Use S_PARTY_REL to implement relationships between parties in the S_PARTY table. In this case, records in S_PARTY are both parent (PARTY_ID) and child (PERSON_ID).
Use S_PARTY_PER to implement relationships between members:
■ Access groups and members
■ Accounts and contacts
■ Employees and positions
■ User lists and users
Generating a Report about TablesYou can generate a report that displays selected properties of each table and lists the columns. The name, physical type, length, comments, and various other properties are identified for each column.
Table 128. S_PARTY Extension Tables and Corresponding EIM Interface Tables
Data Type Extension Table to S_PARTY EIM Interface Table
Accounts S_ORG_EXT EIM_ACCOUNT
Business Units S_BU EIM_BU
Contacts S_CONTACT EIM_CONTACT
Employees S_CONTACT EIM_EMPLOYEE
Groups S_ORG_GROUP EIM_GROUP
Organizations S_ORG_BU EIM_ORG_BU
Positions S_POSTN EIM_POSITION
Users S_USER EIM_USER
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To generate a table report
1 Log in to the Siebel application, and navigate to the Administration - Application screen, then Tables view.
2 From the Menu menu, choose New Query.
3 In the Name column, enter the name of the table for which the report is to be generated, and press Enter.
4 Click the Reports icon in the icon bar.
5 Select Tables Report from the drop-down list.
The Output Type dialog box appears.
6 Select the output format for the report from the drop-down list.
7 Click Submit to generate the report.
The File Download dialog box appears.
8 Choose to open, save or cancel the report.
NOTE: For more information about generating reports, see Siebel Reports Administration Guide.
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5 Schema Changes
This chapter lists the table, table column and table index changes in this version of the schema:
■ “Table Changes in This Version” on page 277
■ “Table Column Changes in This Version” on page 281
■ “Table Index Changes in This Version” on page 311
Table Changes in This VersionThis topic lists the following changes to tables that have been implemented in this version of the schema:
■ “New Tables in This Version” on page 277
■ “Changed Tables in This Version” on page 281
New Tables in This VersionTable 129 lists tables that are new in this version.
Table 129. New Tables in This Version
Table Type Active
S_ACC_VIEW_APPL Data(Private) Yes
S_ACRL_RULE_ITM Data (Public) Yes
S_ACT_PGROUP Data (Intersection) Yes
S_BNFPLNITM_PAY Data(Public) Yes
S_BNFT_PLAN_ITM Data(Public) Yes
S_BR_ACTION Data (Public) Yes
S_BR_ACTN_SET Data (Public) Yes
S_BR_EXCPTN Data (Public) Yes
S_BR_INST Data (Public) Yes
S_BULK_REQ Data (Public) Yes
S_CASE_BNFTPLAN Data(Public) Yes
S_CASE_CHGOFCCM Data(Public) Yes
S_CASE_PSX Extension Yes
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S_CASE_TMPL Data(Intersection) Yes
S_CASE_TMPLITM Data(Intersection) Yes
S_CHAT_KB_VSTD Data (Public) Yes
S_CHAT_LANG_MAP Data (Public) Yes
S_CHAT_PARAM Data (Public) Yes
S_CHAT_ROUTE Data (Public) Yes
S_CHRCTR_IMPT Data (Public) Yes
S_COMM_IMPT Data (Public) Yes
S_COMM_PGROUP Data (Intersection) Yes
S_COMM_SVY_LOG Data (Public) Yes
S_CON_PGROUP Data (Intersection) Yes
S_CONTACT_IMPT Data (Public) Yes
S_CONTACT_PSX Extension Yes
S_CTLGCAT_MSGPL Data(Intersection) Yes
S_DCP_MSGPLAN Data(Intersection) Yes
S_EMP_AUDITSIGN Data(Intersection) Yes
S_INT_OBJ_DATA Data (Private) Yes
S_INT_OBJ_DPLOY Data (Private) Yes
S_INV_AUDIT_RPT Data(Public) Yes
S_INVADTRPT_ATT Data(Public) Yes
S_LEAD Data (Public) Yes
S_LEAD_BU Data (Intersection) Yes
S_LEAD_IMPT Data (Public) Yes
S_LEAD_OPTY Data (Intersection) Yes
S_LEAD_POSTN Data (Intersection) Yes
S_LEAD_PROD Data (Intersection) Yes
S_LEADPROD_IMPT Data (Public) Yes
S_LEADRESP_IMPT Data (Public) Yes
S_LIT_LSX Extension(Siebel) Yes
S_LIT_PROD_APPL Data(Intersection) Yes
S_LITERATUR_REL Data(Intersection) Yes
Table 129. New Tables in This Version
Table Type Active
Schema Changes ■ Table Changes in This Version
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S_LOY_ACRL_RULE Data (Public) Yes
S_LOY_ACTRANGE Data (Public) Yes
S_LOY_DISTANCE Data (Public) Yes
S_LOY_LOAN Data (Public) Yes
S_LOY_MEM_BLKAD Data (Public) Yes
S_LOY_MSTAT_PRF Data (Public) Yes
S_LOY_OLAPSTG Data (Public) Yes
S_LOY_PG_PR_ITM Data (Public) Yes
S_LOY_PRI_RANGE Data(Public) Yes
S_LOY_PRI_RULE Data(Public) Yes
S_LOY_PRT_TXN Data (Public) Yes
S_LOY_PTSUBTYPE Data(Public) Yes
S_LOY_PURTRN_LM Data (Public) Yes
S_LOY_RDM_ACT Data (Public) Yes
S_LOY_SOM_HIST Data (Public) Yes
S_LOY_SRC_PROMO Data (Intersection) Yes
S_LOY_SRV_PROD Data (Public) Yes
S_LOY_TRVL_INFO Data (Public) Yes
S_LOY_TXN_ITEM Data (Public) Yes
S_LOY_TXN_STG Data (Public) Yes
S_LOYPR_ICHOICE Data(Public) Yes
S_MKT_EVT_TRG Data(Public) Yes
S_MKT_IMPRT_TSK Data (Public) Yes
S_MKT_IMPT_MAP Data (Public) Yes
S_MKT_SRVY Data (Public) Yes
S_MKT_STGWAIT Data(Public) Yes
S_MKT_STGWT_REL Data(Public) Yes
S_MKTEVTRG_HST Data(Public) Yes
S_MKTEVTRG_MAP Data(Intersection) Yes
S_MKTIMP_CHRCTR Data (Intersection) Yes
S_MKTIMPMAP_ITM Data (Public) Yes
Table 129. New Tables in This Version
Table Type Active
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S_MKTIMPTSK_ARG Data (Public) Yes
S_MKTIMPTSK_LOG Data (Public) Yes
S_MKTPRG_ACTN Data(Public) Yes
S_MKTPRGACT_LST Data(Intersection) Yes
S_MKTSVY_A_LANG Data (Intersection) Yes
S_MKTSVY_ANSW Data (Public) Yes
S_MKTSVY_Q_LANG Data (Intersection) Yes
S_MKTSVY_QUES Data (Public) Yes
S_MKTSVY_SCTN Data (Public) Yes
S_MKTSVYST_QUES Data (Public) Yes
S_MSG_PLAN Data(Public) Yes
S_MSGPL_ITM_REL Data(Intersection) Yes
S_MSGPLAN_BU Data(Intersection) Yes
S_MSGPLAN_ITM Data(Intersection) Yes
S_NOTE_LEAD Data (Public) Yes
S_NOTEOPTY_PGRP Data (Intersection) Yes
S_OPTY_ORG_ATTR Data(Public) Yes
S_OPTY_PGROUP Data (Intersection) Yes
S_ORDER_ACTNSET Data (Intersection) Yes
S_ORG_EXT_IMPT Data (Public) Yes
S_ORG_GRP_PSX Extension Yes
S_ORG_PGROUP Data (Intersection) Yes
S_ORG_RL_PROF Extension (Siebel) Yes
S_PCD_DETAIL Data(Public) Yes
S_PGM_ORG_PROD Data (Public) Yes
S_PGMORG_PNTTYP Data (Public) Yes
S_PGROUP_LANG Data (Intersection) Yes
S_PGROUP_REL Data (Public) Yes
S_PRO_CFG_ITEM Data (Intersection) Yes
S_PROGORG_STMT Data(Public) Yes
S_PROMO_PRTNR Data (Public) Yes
Table 129. New Tables in This Version
Table Type Active
Schema Changes ■ Table Column Changes in This Version
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Changed Tables in This VersionTable 130 lists tables whose type has changed in this version.
Table Column Changes in This VersionThis topic lists the following changes to columns that have been implemented in this version of the schema:
■ “New Table Columns in This Version” on page 282
S_PRSPCON_IMPT Data (Public) Yes
S_PS_APPL Data (Public) Yes
S_PS_APPL_ATT Data (Public) Yes
S_PS_APPL_BU Data (Intersection) Yes
S_SMPL_TXN_ATT Data(Public) Yes
S_SRC_MSGPLAN Data(Intersection) Yes
S_STKPEREMP_EMP Data(Intersection) Yes
S_TIMEZONE_DTL Data (Private) Yes
S_VALDN_RESULT Data(Public) Yes
S_WEB_SITE Data (Public) Yes
S_WEB_SITE_LANG Data (Public) Yes
S_WEBSITE_CNTNT Data (Public) Yes
S_WEBST_TMPL_RL Data (Public) Yes
S_XMLP_REP_IOBJ Data(Public) Yes
S_XMLP_REP_TMPL Data (Public) Yes
S_XMLP_REPOUTPT Data (Public) Yes
S_XMLP_RPT_LANG Data (Intersection) Yes
S_XMLP_RPT_VIEW Data (Intersection) Yes
Table 130. Table with Changed Type
Table Previous Type New Type
S_TIMEZONE Data (Public) Data (Private)
Table 129. New Tables in This Version
Table Type Active
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■ “Changed Table Columns in This Version” on page 311
New Table Columns in This VersionTable 131 lists table columns that are new in this version. Some column headings are abbreviated as follows:
■ Opt indicates optional.
■ Len indicates length.
■ Prec indicates precision.
■ Def indicates default.
■ LOV Bnd indicates LOV bound.
Siebel Data Model Reference for Industry Applications Version 8.1 283
Schema Changes ■ Table Column Changes in This Version
Table
131.
New
Table
Colu
mns
in T
his
Vers
ion
Ta
ble
C
olu
mn
O
pt
Da
ta
Typ
eLen
Pre
cS
ca
leD
ef
LO
V T
yp
eLO
V
Bn
d
S_AC
CN
T_PO
STN
NEXT_C
ALL
_D
TY
UTC
D
ate
Tim
e7
S_AC
CN
T_PO
STN
NEXT_C
ALL
_O
BJE
CTIV
YVarc
har
1500
S_AC
T_PR
DIN
TIN
TEG
RATIO
N_ID
YVarc
har
30
S_AC
T_PR
DIN
TM
AX_ALL
OC
_Q
TY
YN
um
ber
22
22
7
S_AC
T_PR
DIN
TM
AX_C
ALL
_Q
TY
YN
um
ber
22
22
7
S_AC
T_PR
DIN
TM
AX_PR
OD
UC
T_Q
TY
YN
um
ber
22
22
7
S_AC
T_PR
DIN
TPR
OD
_ALL
OC
_ID
YVarc
har
15
S_AC
T_PR
DIN
TSU
M_SAM
PLE
_ALL
OC
YN
um
ber
22
22
7
S_AC
T_PR
DIN
TSU
M_SAM
PLE
_PR
OD
YN
um
ber
22
22
7
S_AC
T_PR
OD
_A
PPL
PR
OD
_ALL
OC
_ID
YVarc
har
15
S_AC
T_S
IGN
CO
N_FS
T_N
AM
EY
Varc
har
50
S_AC
T_S
IGN
CO
N_LS
T_N
AM
EY
Varc
har
50
S_AC
T_S
IGN
DIS
CLA
IMER
_TEXT
YVarc
har
2000
S_AC
T_S
IGN
INV
_AU
DIT
_R
PT_ID
YVarc
har
15
S_AC
T_S
IGN
REP_C
OM
P_N
AM
EY
Varc
har
50
S_AC
T_S
IGN
REP_FS
T_N
AM
EY
Varc
har
50
S_AC
T_S
IGN
REP_LS
T_N
AM
EY
Varc
har
50
S_AC
T_S
IGN
REP_PO
STN
YVarc
har
50
S_AC
T_S
IGN
REP_S
UB
_C
ON
TR
AC
TO
RY
Varc
har
50
S_AC
T_S
IGN
SAM
PLE
_TXN
_ID
YVarc
har
15
S_AD
DR
_O
RG
AD
DR
ESSEE
YVarc
har
100
S_AD
DR
_PER
AD
DR
ESSEE
YVarc
har
100
Siebel Data Model Reference for Industry Applications Version 8.1284
Schema Changes ■ Table Column Changes in This Version
S_AD
DR
_PER
AIA
_IN
TEG
_ID
YVarc
har
150
S_ASS
ESS
INV
_AU
DIT
_R
PT_ID
YVarc
har
15
S_ASS
ESS
LIT_ID
YVarc
har
15
S_ASS
ET
AIA
_IN
TEG
_ID
YVarc
har
150
S_ASS
ET
BIL
L_PR
OFI
LE_ID
YVarc
har
15
S_C
AM
P_C
ON
CTR
L_G
RP_FL
GN
Char
1N
S_C
AM
P_C
ON
SEG
MEN
T_C
OD
E_1
YVarc
har
30
S_C
AM
P_C
ON
SEG
MEN
T_C
OD
E_2
YVarc
har
30
S_C
ASE
APPLI
CA
NT_ID
YVarc
har
15
S_C
ASE
AU
DIT
_EM
P_ID
YVarc
har
15
S_C
ASE
CH
GO
FCC
M_R
EQ
_FL
GN
Char
1N
S_C
ASE
MS
TR
_C
ASE_ID
YVarc
har
15
S_C
ASE
PS
_APPL_
IDY
Varc
har
15
S_C
IF_EX
T_S
YS
TM
IDD
LEW
AR
E_FL
GN
Char
1N
S_C
IF_EX
T_S
YS
TM
SG
_TYPE_C
DY
Varc
har
30
S_C
IF_SYS
_D
TL
PR
OXY_BS
YVarc
har
100
S_C
IF_SYS
_D
TL
PR
OXY_M
TD
_N
AM
EY
Varc
har
150
S_C
OM
M_D
TL
BAN
NER
_AD
_STR
NG
YVarc
har
100
S_C
OM
M_D
TL
CLI
EN
T_IP
_AD
DR
YVarc
har
100
S_C
OM
M_D
TL
CU
RR
EN
T_U
RL
YVarc
har
200
S_C
OM
M_D
TL
KEYW
OR
D_STR
NG
YVarc
har
100
S_C
OM
M_D
TL
MK
T_SR
VY_LA
NG
_ID
YVarc
har
5
S_C
OM
M_D
TL
REFE
RR
ER
_U
RL
YVarc
har
200
Table
131.
New
Table
Colu
mns
in T
his
Vers
ion
Ta
ble
C
olu
mn
O
pt
Da
ta
Typ
eLen
Pre
cS
ca
leD
ef
LO
V T
yp
eLO
V
Bn
d
Siebel Data Model Reference for Industry Applications Version 8.1 285
Schema Changes ■ Table Column Changes in This Version
S_C
OM
M_D
TL
REFE
RR
ER
_U
SER
NAM
EY
Varc
har
100
S_C
OM
M_IM
PT
AC
CN
T_PO
STN
_ID
YVarc
har
15
S_C
OM
M_IM
PT
AC
CN
T_R
EVN
_AM
TY
Num
ber
22
22
7
S_C
OM
MU
NIC
ATIO
NC
OS
T_A
MT
YN
um
ber
22
22
7
S_C
OM
MU
NIC
ATIO
NC
OS
T_C
UR
CY_C
DY
Varc
har
20
S_C
OM
MU
NIC
ATIO
NLE
AD
_ID
YVarc
har
15
S_C
OM
MU
NIC
ATIO
NM
KT_SR
VY_ID
YVarc
har
15
S_C
OM
MU
NIC
ATIO
NPG
RO
UP_PU
BLI
C_FL
GY
Char
1N
S_C
OM
MU
NIC
ATIO
NR
ESP_VALU
E_C
DY
Varc
har
30
S_C
ON
_A
DD
RAD
DR
ESSEE
YVarc
har
100
S_C
ON
TAC
TAIA
_IN
TEG
_ID
YVarc
har
150
S_C
ON
TAC
TAPPR
OVA
L_S
TATU
S_C
DY
Varc
har
30
APPR
OVAL_
STA
TU
SY
S_C
ON
TAC
TEM
AIL
_STA
TU
S_C
DY
Varc
har
30
EM
AIL
_STA
TU
S
S_C
ON
TAC
TLS
T_EM
LAD
R_U
PD
_TS
YU
TC
D
ate
Tim
e7
S_C
ON
TAC
TM
STR
_C
ASE_ID
YVarc
har
15
S_C
ON
TAC
TN
UM
_H
AR
D_B
NC
EY
Num
ber
22
10
0
S_C
ON
TAC
TN
UM
_SO
FT_B
NC
EY
Num
ber
22
10
0
S_C
ON
TAC
T_LO
YX
HO
ME_AIR
PO
RT
YVarc
har
30
S_C
ON
TAC
T_LS
XC
ERT_EX
PIR
E_D
TY
UTC
D
ate
Tim
e7
S_C
ON
TAC
T_LS
XLA
ST_S
MPL_
AU
DIT
_D
TY
UTC
D
ate
Tim
e7
S_C
ON
TAC
T_LS
XM
ASTER
_SIG
N_ID
YVarc
har
15
Table
131.
New
Table
Colu
mns
in T
his
Vers
ion
Ta
ble
C
olu
mn
O
pt
Da
ta
Typ
eLen
Pre
cS
ca
leD
ef
LO
V T
yp
eLO
V
Bn
d
Siebel Data Model Reference for Industry Applications Version 8.1286
Schema Changes ■ Table Column Changes in This Version
S_C
T_APLT
_R
LST
LOC
K_FL
GY
Char
1N
S_C
T_R
ULE
_SET
LOC
K_FL
GY
Char
1N
S_C
T_R
ULE
_SET
RU
LE_S
ET_TYPE_C
DY
Varc
har
30
S_D
CP_C
ALL
_LS
TALL
OC
ATED
_C
NT
YN
um
ber
22
10
0
S_D
CP_C
ALL
_LS
TALL
OC
ATED
_PC
TY
Num
ber
22
22
7
S_D
CP_C
ALL
_LS
TC
TR
L_G
RP_PC
TY
Num
ber
22
22
7
S_D
CP_C
ALL
_LS
TPC
T_A
LLO
C_FL
GN
Char
1Y
S_D
CP_U
RL
LAN
D_SIT
E_ID
YVarc
har
15
S_D
CP_U
RL
RELA
Y_EM
BED
_ID
_FL
GN
Char
1N
S_D
MN
D_C
RTN
_PR
GAC
T_A
PPT_D
URTN
_M
INY
Num
ber
22
22
7
S_D
MN
D_C
RTN
_PR
GAC
T_C
AL_
TYPE_C
DY
Varc
har
30
S_D
MN
D_C
RTN
_PR
GAC
T_C
OM
MEN
TS
YVarc
har
100
S_D
MN
D_C
RTN
_PR
GAC
T_C
OM
MEN
TS_LO
NG
YVarc
har
1500
S_D
MN
D_C
RTN
_PR
GAC
T_D
ON
E_FL
GN
Char
1N
S_D
MN
D_C
RTN
_PR
GAC
T_O
WN
ER
_PER
_ID
YVarc
har
15
S_D
MN
D_C
RTN
_PR
GAC
T_PLA
N_EN
D_D
TY
UTC
D
ate
Tim
e7
S_D
MN
D_C
RTN
_PR
GAC
T_PLA
N_STA
RT_D
TY
UTC
D
ate
Tim
e7
S_D
MN
D_C
RTN
_PR
GAC
T_PR
IOR
ITY_C
DY
Varc
har
30
S_D
MN
D_C
RTN
_PR
GAC
T_PR
IV_FL
GN
Char
1N
S_D
MN
D_C
RTN
_PR
GAC
T_S
TAT_C
DY
Varc
har
30
S_D
MN
D_C
RTN
_PR
GAC
T_TO
DO
_C
DY
Varc
har
30
Table
131.
New
Table
Colu
mns
in T
his
Vers
ion
Ta
ble
C
olu
mn
O
pt
Da
ta
Typ
eLen
Pre
cS
ca
leD
ef
LO
V T
yp
eLO
V
Bn
d
Siebel Data Model Reference for Industry Applications Version 8.1 287
Schema Changes ■ Table Column Changes in This Version
S_D
MN
D_C
RTN
_PR
GAC
T_TO
DO
_D
UE_D
TY
UTC
D
ate
Tim
e7
S_D
MN
D_C
RTN
_PR
GC
REATED
_TS
YU
TC
D
ate
Tim
e7
S_D
MN
D_C
RTN
_PR
GD
EPLO
Y_TS
YU
TC
D
ate
Tim
e7
S_D
MN
D_C
RTN
_PR
GK
IOS
K_M
OD
E_FL
GN
Char
1N
S_D
MN
D_C
RTN
_PR
GLA
ND
GS
ITE_S
TAT_C
DY
Varc
har
30
LAN
DIN
G_S
ITE_
STA
TU
S_TYPE
S_D
MN
D_C
RTN
_PR
GM
KT_SR
VY_ID
YVarc
har
15
S_D
MN
D_C
RTN
_PR
GN
EXT_BTT
N_TEXT
YVarc
har
50
S_D
MN
D_C
RTN
_PR
GO
RIG
_C
REATO
R_ID
YVarc
har
15
S_D
MN
D_C
RTN
_PR
GO
WN
ER
_PO
STN
_ID
YVarc
har
15
S_D
MN
D_C
RTN
_PR
GPU
BLI
SH
_TS
YU
TC
D
ate
Tim
e7
S_D
MN
D_C
RTN
_PR
GR
ED
IREC
T_U
RL
YVarc
har
250
S_D
MN
D_C
RTN
_PR
GR
ED
IREC
T_U
RL_
FLG
NC
har
1N
S_D
MN
D_C
RTN
_PR
GR
ESU
ME_FL
GY
Char
1
S_D
MN
D_C
RTN
_PR
GSTRT_O
N_LN
DPG
_FL
GN
Char
1N
S_D
MN
D_C
RTN
_PR
GSTRT_SV
Y_BTT
N_TEXT
YVarc
har
50
S_D
MN
D_C
RTN
_PR
GSU
BM
IT_BTT
N_TEXT
YVarc
har
50
S_D
MN
D_C
RTN
_PR
GTEST_U
RL_
TEXT
YVarc
har
250
S_D
MN
D_C
RTN
_PR
GTIN
Y_U
RL_
TEXT
YVarc
har
250
S_D
MN
D_C
RTN
_PR
GTIT
LE_N
AM
EY
Varc
har
100
S_D
MN
D_C
RTN
_PR
GTM
PL_
STA
TU
S_C
DY
Varc
har
30
Table
131.
New
Table
Colu
mns
in T
his
Vers
ion
Ta
ble
C
olu
mn
O
pt
Da
ta
Typ
eLen
Pre
cS
ca
leD
ef
LO
V T
yp
eLO
V
Bn
d
Siebel Data Model Reference for Industry Applications Version 8.1288
Schema Changes ■ Table Column Changes in This Version
S_D
OC
_Q
UO
TE
ATT
R_ID
YVarc
har
15
S_D
OC
_Q
UO
TE
BIL
L_PR
OFI
LE_ID
YVarc
har
15
S_D
OC
_Q
UO
TE_SPA
APPR
_S
EQ
_N
UM
YN
um
ber
22
10
0
S_D
OC
_Q
UO
TE_SPA
SPA
_SU
B_TYPE_C
DY
Varc
har
30
S_EM
P_PER
LS_A
PPR
OV
ER
_ID
YVarc
har
15
S_EM
P_PER
PC
D_TBAR
_A
LIG
N_C
DY
Varc
har
30
S_EM
P_PR
DIN
TALL
OC
_TYPE_C
DN
Varc
har
30
Pro
d-
uct
Al
loca
-ti
on
S_EM
P_PR
DIN
TEN
D_D
TY
UTC
D
ate
Tim
e7
S_EM
P_PR
DIN
TM
AX_ALL
OC
_Q
TY
YN
um
ber
22
22
7
S_EM
P_PR
DIN
TM
AX_C
ALL
_Q
TY
YN
um
ber
22
22
7
S_EM
P_PR
DIN
TM
AX_O
RD
ER
_Q
TY
YN
um
ber
22
22
7
S_EM
P_PR
DIN
TM
IN_O
RD
ER
_Q
TY
YN
um
ber
22
22
7
S_EM
P_PR
DIN
TSTA
RT_D
TY
UTC
D
ate
Tim
e7
S_EM
P_PR
DIN
TSTO
P_SAM
PLE
_FL
GN
Char
1N
S_EV
T_A
CT
BN
FT_PLA
N_IT
M_ID
YVarc
har
15
S_EV
T_A
CT
LEAD
_ID
YVarc
har
15
S_EV
T_A
CT
SK
IN_C
DY
Varc
har
30
S_EVT_AC
T_FN
XPG
RO
UP_PU
BLI
C_FL
GY
Char
1N
S_EV
T_A
CT_LS
XC
ALL
_VA
LDN
_R
ESU
LTY
Varc
har
50
Table
131.
New
Table
Colu
mns
in T
his
Vers
ion
Ta
ble
C
olu
mn
O
pt
Da
ta
Typ
eLen
Pre
cS
ca
leD
ef
LO
V T
yp
eLO
V
Bn
d
Siebel Data Model Reference for Industry Applications Version 8.1 289
Schema Changes ■ Table Column Changes in This Version
S_EV
T_A
CT_LS
XN
EXT_C
ALL
_D
TY
UTC
D
ate
Tim
e7
S_EV
T_A
CT_LS
XSU
PER
VIS
OR
_ID
YVarc
har
15
S_EV
T_C
OM
MAR
EA
_C
DY
Varc
har
30
S_EV
T_C
OM
MC
HAT_TR
AN
SC
RIP
TY
Undefine
d1310
72
S_EV
T_C
OM
MEM
AIL
_AD
DR
_PR
VD
YVarc
har
100
S_EV
T_C
OM
MFS
T_N
AM
E_PR
VD
YVarc
har
50
S_EV
T_C
OM
MLA
ST_N
AM
E_PR
VD
YVarc
har
50
S_EV
T_C
OM
MN
EW
_EM
AIL
_PR
VD
_FL
GN
Char
1N
S_EV
T_C
OM
MN
EW
_PH
_PR
VD
_FL
GN
Char
1N
S_EV
T_C
OM
MPR
OB
LEM
_D
ESC
_TEXT
YVarc
har
250
S_EV
T_C
OM
MSU
B_A
REA
_C
DY
Varc
har
30
S_EV
T_C
OM
MW
RA
PU
P_EN
D_TS
YU
TC
D
ate
Tim
e7
S_EV
T_C
OM
MW
RA
PU
P_FE
ED
BAC
K_C
DY
Varc
har
30
WR
APU
P_
FEED
BA
CK
Y
S_EV
T_C
OM
MW
RA
PU
P_O
UTC
OM
E_C
DY
Varc
har
30
WR
APU
P_
OU
TC
OM
EY
S_EV
T_C
OM
MW
RA
PU
P_R
EASO
N_C
DY
Varc
har
30
WR
APU
P_R
EAS
ON
Y
S_EV
T_C
OM
MW
RA
PU
P_S
TART_TS
YU
TC
D
ate
Tim
e7
S_FC
ST
SELF
_AD
J_A
MT
YN
um
ber
22
22
7
S_FC
ST
TO
T_A
DJ_
BY_SU
B_A
MT
YN
um
ber
22
22
7
S_FC
STS
ER
_PO
STN
SU
BM
IT_TO
_PSTN
_ID
YVarc
har
15
Table
131.
New
Table
Colu
mns
in T
his
Vers
ion
Ta
ble
C
olu
mn
O
pt
Da
ta
Typ
eLen
Pre
cS
ca
leD
ef
LO
V T
yp
eLO
V
Bn
d
Siebel Data Model Reference for Industry Applications Version 8.1290
Schema Changes ■ Table Column Changes in This Version
S_FO
RM
_M
AP
CATEG
OR
Y_C
DY
Varc
har
30
PU
B_FO
RM
_
CATEG
OR
YY
S_FO
RM
_M
AP
DO
C_N
UM
BER
YVarc
har
30
S_IN
CID
EN
TSIG
N_EVT_ID
YVarc
har
15
S_IN
CID
EN
T_C
ON
RO
W_S
TATU
SN
Varc
har
10
Y
S_IN
V_PR
OF
AU
TO
_TO
P_U
P_FL
GY
Char
1N
S_IN
V_PR
OF
BIL
L_PR
FL_C
OM
MEN
TS
YVarc
har
255
S_IN
V_PR
OF
CC
_S
EC
_C
OD
EY
Varc
har
10
S_IN
V_PR
OF
CC
NU
M_EN
CR
PK
EY_R
EF
YVarc
har
30
S_IN
V_PR
OF
CC
V_N
UM
BER
YVarc
har
20
S_IN
V_PR
OF
CC
VN
UM
_EN
CR
PK
Y_R
EF
YVarc
har
30
S_IN
V_PR
OF
CR
DT_C
RD
_EXP_M
O_C
DY
Varc
har
30
TELC
O_M
ON
TH
_
TYPE
Y
S_IN
V_PR
OF
CR
DT_C
RD
_EXP_YR
_C
DY
Varc
har
30
YEA
R
S_IN
V_PR
OF
PAYM
EN
T_TYPE_C
DY
Varc
har
30
BIL
L_PA
YM
EN
T_
TYPE
Y
S_IN
V_PR
OF
RO
UTIN
G_N
UM
YVarc
har
50
S_IN
V_PR
OF
RO
UTIN
G_N
UM
BER
YVarc
har
30
S_IN
V_PR
OF
SM
S_N
OTIF
Y_FL
GY
Char
1N
S_IN
V_PR
OF
TH
RES
HO
LD_U
OM
_C
DY
Varc
har
30
BIL
L_PR
EPA
ID_
UO
MY
S_IN
V_PR
OF
TH
RES
HO
LD_VALU
EY
Num
ber
22
22
7
S_IN
V_PR
OF
TO
P_U
P_U
OM
_C
DY
Varc
har
30
BIL
L_PR
EPA
ID_
UO
MY
S_IN
V_PR
OF
TO
P_U
P_VALU
EY
Num
ber
22
22
7
Table
131.
New
Table
Colu
mns
in T
his
Vers
ion
Ta
ble
C
olu
mn
O
pt
Da
ta
Typ
eLen
Pre
cS
ca
leD
ef
LO
V T
yp
eLO
V
Bn
d
Siebel Data Model Reference for Industry Applications Version 8.1 291
Schema Changes ■ Table Column Changes in This Version
S_IN
V_PR
OF
TO
PU
P_FR
EQ
_C
DY
Varc
har
30
BIL
L_ F
REQ
UEN
CY
Y
S_IN
VC
_AD
J_IT
EM
AD
J_EFF
EC
TIV
E_D
TY
Date
7
S_IN
VC
_AD
J_IT
EM
AD
J_PER
CEN
TAG
EY
Num
ber
322
7
S_IN
VC
_AD
J_IT
EM
AD
J_TYPE_C
DY
Varc
har
30
S_IN
VC
_AD
J_IT
EM
AD
JUSTM
EN
T_VA
LUE
YN
um
ber
22
22
7
S_IN
VC
_AD
J_IT
EM
APPR
_PER
CEN
TAG
EY
Num
ber
22
22
7
S_IN
VC
_AD
J_IT
EM
APPR
_VALU
EY
Num
ber
22
22
7
S_IN
VC
_AD
J_IT
EM
APPR
OV
_AD
J_PER
CEN
TY
Num
ber
322
7
S_IN
VC
_AD
J_IT
EM
INV_IT
EM
_D
ETA
IL_ID
YVarc
har
15
S_IN
VC
_AD
J_IT
EM
NO
TES
YVarc
har
30
S_IN
VC
_AD
J_IT
EM
OR
IGIN
AL_
VALU
EY
Num
ber
22
22
7
S_IN
VC
_AD
J_IT
EM
REAS
ON
_C
DY
Varc
har
30
S_IN
VC
_AD
J_IT
EM
REQ
_PER
CEN
TAG
EY
Num
ber
22
22
7
S_IN
VC
_AD
J_IT
EM
REQ
_VALU
EY
Num
ber
22
22
7
S_IN
VC
_AD
J_IT
EM
RESO
UR
CE_TO
_A
DJ_
CD
YVarc
har
30
S_IN
VC
_AD
J_IT
EM
TAX_TR
EATM
EN
T_C
DY
Varc
har
30
S_IN
VC
_AD
J_IT
EM
TAX_VALU
EY
Num
ber
22
22
7
S_IN
VC
_IT
M_D
TL
DIS
CO
UN
T_AM
TY
Num
ber
22
10
0
S_IN
VC
_IT
M_D
TL
IS_C
UR
REN
CY_FL
GY
Char
1N
S_IN
VC
_IT
M_D
TL
ITEM
_D
TY
Date
7
S_IN
VC
_IT
M_D
TL
PH
_EXT_N
UM
YVarc
har
100
S_IN
VC
_IT
M_D
TL
TO
TAL_
US
GY
Num
ber
22
10
0
S_IN
VO
ICE
BIL
L_PR
OF_
IDY
Varc
har
15
Table
131.
New
Table
Colu
mns
in T
his
Vers
ion
Ta
ble
C
olu
mn
O
pt
Da
ta
Typ
eLen
Pre
cS
ca
leD
ef
LO
V T
yp
eLO
V
Bn
d
Siebel Data Model Reference for Industry Applications Version 8.1292
Schema Changes ■ Table Column Changes in This Version
S_IN
VO
ICE_AD
JAD
J_EFF
_D
TY
Date
7
S_IN
VO
ICE_AD
JAD
J_LE
VEL_
CD
YVarc
har
30
S_IN
VO
ICE_AD
JAPPR
_PER
CEN
TAG
EY
Num
ber
22
22
7
S_IN
VO
ICE_AD
JB
ILL_
PR
OF_
IDY
Varc
har
15
S_IN
VO
ICE_AD
JR
EQ
_PER
CEN
TAG
EY
Num
ber
22
22
7
S_IN
VO
ICE_AD
JTA
X_TR
EATM
EN
T_C
DY
Varc
har
30
S_IN
VO
ICE_AD
JTA
X_VALU
EY
Num
ber
22
22
7
S_LE
AD
_IM
PT
AC
CN
T_PO
STN
_ID
YVarc
har
15
S_LE
AD
_IM
PT
AC
CN
T_R
EVN
_AM
TY
Num
ber
22
22
7
S_LE
AD
RES
P_IM
PT
QU
ESTIO
N_N
AM
EY
Varc
har
100
S_LO
Y_A
CR
L_IT
MPRTN
R_PT_D
EBT_Q
TY
YN
um
ber
22
10
0
S_LO
Y_A
CR
L_IT
MPT_SU
B_TYPE_ID
YVarc
har
15
S_LO
Y_A
CR
L_IT
MR
ET_EFF
_D
TY
UTC
D
ate
Tim
e7
S_LO
Y_A
CTC
RTR
BU
S_S
ER
VIC
E_N
AM
EY
Varc
har
75
S_LO
Y_A
CTC
RTR
METH
OD
_N
AM
EY
Varc
har
75
S_LO
Y_A
CTC
RTR
PR
OD
_ID
YVarc
har
15
S_LO
Y_A
CTC
RTR
PT_SU
B_TYPE_ID
YVarc
har
15
S_LO
Y_A
CTC
RTR
REL_
TYPE_C
DY
Varc
har
30
PARTY_R
ELA
TIO
NS
HIP
_TYPE
Y
S_LO
Y_A
CTC
RTR
VO
UC
HER
_Q
TY
YN
um
ber
22
10
0
S_LO
Y_ATT
RD
EFN
AC
CN
T_A
CT_C
DY
Varc
har
30
LOY_PT_EXP_
AC
C_A
CTVIT
Y_C
DY
S_LO
Y_ATT
RD
EFN
EXP_PD
_U
OM
_C
DY
Varc
har
30
LOY_PT_EXP_ U
OM
Y
Table
131.
New
Table
Colu
mns
in T
his
Vers
ion
Ta
ble
C
olu
mn
O
pt
Da
ta
Typ
eLen
Pre
cS
ca
leD
ef
LO
V T
yp
eLO
V
Bn
d
Siebel Data Model Reference for Industry Applications Version 8.1 293
Schema Changes ■ Table Column Changes in This Version
S_LO
Y_ATT
RD
EFN
EXP_PER
IOD
_LE
NY
Num
ber
22
22
7
S_LO
Y_ATT
RD
EFN
EXPIR
Y_A
LIG
N_C
DY
Varc
har
30
LOY_PT_EXP_
SN
AP_TO
Y
S_LO
Y_ATT
RD
EFN
EXPIR
Y_BA
SIS
_C
DY
Varc
har
30
LOY_PT_EXPIR
Y_
BASIS
_C
DY
S_LO
Y_ATT
RD
EFN
EXPIR
Y_D
AY_C
DY
Varc
har
30
FIN
S_C
F_
AG
REEM
NT_
PAYM
T_D
UE_D
AY
Y
S_LO
Y_ATT
RD
EFN
EXPIR
Y_M
ON
TH
_C
DY
Varc
har
30
LOY_M
ON
TH
_ T
YPE
Y
S_LO
Y_ATT
RD
EFN
METH
OD
_N
AM
EY
Varc
har
75
S_LO
Y_ATT
RD
EFN
MIN
_R
EA
CTIV
ATN
_Q
TY
YN
um
ber
22
10
0
S_LO
Y_ATT
RD
EFN
QU
AL_
PO
INT_FL
GN
Char
1N
S_LO
Y_ATT
RD
EFN
REAC
TIV
ATE_FL
GN
Char
1N
S_LO
Y_ATT
RD
EFN
RET_EFF
_FL
GN
Char
1N
S_LO
Y_ATT
RD
EFN
RPT_EXP_PD
_U
OM
_C
DY
Varc
har
30
S_LO
Y_ATT
RD
EFN
RPT_EXP_PER
IOD
_LE
NY
Num
ber
22
10
0
S_LO
Y_B
UC
KET
OR
DER
_N
UM
YN
um
ber
22
10
0
S_LO
Y_M
EM
_TIE
RAPPLD
_PR
OM
O_R
L_ID
YVarc
har
15
S_LO
Y_M
EM
_TIE
RAPPLI
ED
_PR
OM
O_ID
YVarc
har
15
S_LO
Y_M
EM
_TIE
RB
ULK
_R
EF_
IDY
Varc
har
15
S_LO
Y_M
EM
_TIE
RFU
TR
_TIE
R_ID
YVarc
har
15
S_LO
Y_M
EM
_TIE
RFU
TR
_TIE
R_STA
MP_D
TY
UTC
D
ate
Tim
e7
S_LO
Y_M
EM
_TIE
RN
EXT_ASS
ESS_D
TY
UTC
D
ate
Tim
e7
Table
131.
New
Table
Colu
mns
in T
his
Vers
ion
Ta
ble
C
olu
mn
O
pt
Da
ta
Typ
eLen
Pre
cS
ca
leD
ef
LO
V T
yp
eLO
V
Bn
d
Siebel Data Model Reference for Industry Applications Version 8.1294
Schema Changes ■ Table Column Changes in This Version
S_LO
Y_M
EM
_TIE
RPO
INT_TYPE_E_VAL
YN
um
ber
22
22
7
S_LO
Y_M
EM
_TIE
RPO
INT_TYPE_F_
VAL
YN
um
ber
22
22
7
S_LO
Y_M
EM
_TIE
RPO
INT_TYPE_G
_VAL
YN
um
ber
22
22
7
S_LO
Y_M
EM
_TIE
RPO
INT_TYPE_H
_VA
LY
Num
ber
22
22
7
S_LO
Y_M
EM
_TIE
RQ
UAL_
EN
D_D
TY
UTC
D
ate
Tim
e7
S_LO
Y_M
EM
_VC
HR
BAS
IS_C
DY
Varc
har
30
Tie
r Rew
ar
LOY_V
CH
R_B
AS
IS_
CD
Y
S_LO
Y_M
EM
_VC
HR
CO
NS
UM
ED
_TXN
_ID
YVarc
har
15
S_LO
Y_M
EM
_VC
HR
MER
GE_M
EM
_ID
YVarc
har
15
S_LO
Y_M
EM
_VC
HR
OR
IG_VC
HR
_ID
YVarc
har
15
S_LO
Y_M
EM
_VC
HR
TXN
_IT
EM
_ID
YVarc
har
15
S_LO
Y_M
EM
BER
AC
CR
UAL_
TYPE_C
DY
Varc
har
30
LOY_C
OR
P_A
CC
R_
TYPE
Y
S_LO
Y_M
EM
BER
CO
RP_M
EM
_N
UM
YVarc
har
15
S_LO
Y_M
EM
BER
HO
ME_AIR
PO
RT
YVarc
har
30
S_LO
Y_M
EM
BER
LAS
T_A
CC
R_TXN
_D
TY
UTC
D
ate
Tim
e7
S_LO
Y_M
EM
BER
LAS
T_R
DM
_TXN
_D
TY
UTC
D
ate
Tim
e7
S_LO
Y_M
EM
BER
LFTM
_PT_TYPE_E_VA
LY
Num
ber
22
22
7
S_LO
Y_M
EM
BER
LFTM
_PT_TYPE_F_
VAL
YN
um
ber
22
22
7
S_LO
Y_M
EM
BER
LFTM
_PT_TYPE_G
_VAL
YN
um
ber
22
22
7
S_LO
Y_M
EM
BER
LFTM
_PT_TYPE_H
_VAL
YN
um
ber
22
22
7
Table
131.
New
Table
Colu
mns
in T
his
Vers
ion
Ta
ble
C
olu
mn
O
pt
Da
ta
Typ
eLen
Pre
cS
ca
leD
ef
LO
V T
yp
eLO
V
Bn
d
Siebel Data Model Reference for Industry Applications Version 8.1 295
Schema Changes ■ Table Column Changes in This Version
S_LO
Y_M
EM
BER
MEM
SH
IP_SC
HEM
E_ID
YVarc
har
15
S_LO
Y_M
EM
BER
PO
INT_TYPE_E_VAL
YN
um
ber
22
22
7
S_LO
Y_M
EM
BER
PO
INT_TYPE_F_
VAL
YN
um
ber
22
22
7
S_LO
Y_M
EM
BER
PO
INT_TYPE_G
_VAL
YN
um
ber
22
22
7
S_LO
Y_M
EM
BER
PO
INT_TYPE_H
_VA
LY
Num
ber
22
22
7
S_LO
Y_M
EM
BER
STM
T_TYPE_C
DY
Varc
har
30
LOY_STM
T_TYPE_
CD
S_LO
Y_M
EM
BER
SU
RV
_M
EM
_ID
YVarc
har
15
S_LO
Y_PR
OD
_PT
DIS
TAN
CE_U
OM
_C
DY
Varc
har
30
LOY_U
OM
_C
DY
S_LO
Y_PR
OD
_PT
MA
X_D
ISTA
NC
EY
Num
ber
22
22
7
S_LO
Y_PR
OD
_PT
MIN
_D
ISTA
NC
EY
Num
ber
22
22
7
S_LO
Y_PR
OD
_PT
PR
_AM
T_C
RC
Y_EXC
_D
TY
Date
7
S_LO
Y_PR
OD
_PT
PR
ICE_AM
TY
Num
ber
22
22
7
S_LO
Y_PR
OD
_PT
PR
ICE_AM
T_C
UR
CY_C
DY
Varc
har
20
S_LO
Y_PR
OD
_PT
PR
OD
_PT_U
IDN
Varc
har
15
S_LO
Y_PR
OD
_PT
PRTN
R_PR
I_TYPE_C
DY
Varc
har
30
LOY_PRTN
R_
PR
ICE_TYPE_C
DY
S_LO
Y_PR
OD
_PT
PRTN
R_PR
ICE_AM
TY
Num
ber
22
22
7
S_LO
Y_PR
OD
_PT
PYM
T_TYPE_C
DY
Varc
har
30
Poin
ts
LOY_PA
YM
EN
T_ C
DY
S_LO
Y_PR
OG
_O
RG
AC
RL_
VALI
D_PD
_LE
NY
Num
ber
22
22
7
S_LO
Y_PR
OG
_O
RG
AC
RL_
VALI
D_U
OM
_C
DY
Varc
har
30
LOY_PT_EXP_ U
OM
Y
S_LO
Y_PR
OG
_O
RG
ALL
W_N
EG
ATIV
E_FL
GN
Char
1N
S_LO
Y_PR
OG
_O
RG
BIL
LIN
G_TYPE_C
DY
Varc
har
30
Table
131.
New
Table
Colu
mns
in T
his
Vers
ion
Ta
ble
C
olu
mn
O
pt
Da
ta
Typ
eLen
Pre
cS
ca
leD
ef
LO
V T
yp
eLO
V
Bn
d
Siebel Data Model Reference for Industry Applications Version 8.1296
Schema Changes ■ Table Column Changes in This Version
S_LO
Y_PR
OG
_O
RG
CR
ED
IT_LI
MIT
YN
um
ber
22
10
0
S_LO
Y_PR
OG
_O
RG
MIN
_O
RD
ER
_Q
TY
YN
um
ber
22
10
0
S_LO
Y_PR
OG
_O
RG
PR
EC
ALC
_AC
RL_
FLG
NC
har
1N
S_LO
Y_PR
OG
_O
RG
PR
ICIN
G_R
ULE
_ID
YVarc
har
15
S_LO
Y_PR
OG
_O
RG
REO
RD
ER
_LI
MIT
YN
um
ber
22
10
0
S_LO
Y_PR
OG
_O
RG
RET_B
EFO
RE_D
AYS
YN
um
ber
22
10
0
S_LO
Y_PR
OG
_O
RG
SK
IP_AC
RL_
VAL_
FLG
NC
har
1N
S_LO
Y_PR
OG
_O
RG
VA
LDT_D
ISPU
TE_U
SR
YVarc
har
30
S_LO
Y_PR
OG
_O
RG
VA
LID
_D
ISPU
TE_FL
GN
Char
1N
S_LO
Y_PR
OG
RAM
PN
T_TO
_PA
Y_FL
GN
Char
1N
S_LO
Y_PR
OG
RAM
PO
INT_EXP_LE
VEL_
CD
YVarc
har
30
Tie
r Le
vel
LOY_PT_EXP_LV
L_C
DY
S_LO
Y_PR
OG
RAM
PU
R_S
TRT_D
AY_C
DY
Varc
har
30
1FI
NS_C
F_
AG
REEM
NT_
PAYM
T_D
UE_ D
AY
Y
S_LO
Y_PR
OG
RAM
PU
R_S
TRT_M
TH
_C
DY
Varc
har
30
Janu
ary
MO
NTH
_N
AM
EY
S_LO
Y_PR
OG
RAM
REVR
EC
G_PER
IOD
_D
UR
YN
um
ber
22
22
7
S_LO
Y_PR
OG
RAM
REVR
EC
G_PR
D_TYP_C
DY
Varc
har
30
LOY_R
EVR
EC
G_
PER
IOD
Y
S_LO
Y_PR
OG
RAM
TXFR
_S
TRT_D
AY_C
DY
Varc
har
30
1FI
NS_C
F_
AG
REEM
NT_
PAYM
T_D
UE_ D
AY
Y
S_LO
Y_PR
OG
RAM
TXFR
_S
TRT_M
TH
_C
DY
Varc
har
30
Janu
ary
MO
NTH
_N
AM
EY
S_LO
Y_PR
OM
OB
ASE_PR
OM
O_FL
GN
Char
1N
Table
131.
New
Table
Colu
mns
in T
his
Vers
ion
Ta
ble
C
olu
mn
O
pt
Da
ta
Typ
eLen
Pre
cS
ca
leD
ef
LO
V T
yp
eLO
V
Bn
d
Siebel Data Model Reference for Industry Applications Version 8.1 297
Schema Changes ■ Table Column Changes in This Version
S_LO
Y_PR
OM
OEXPO
RT_FL
GN
Char
1N
S_LO
Y_PR
OM
OO
RD
ER
_FL
GN
Char
1N
S_LO
Y_PR
OM
OPK
G_A
CR
L_FL
GN
Char
1N
S_LO
Y_PR
OM
OM
EM
ELI
G_FL
GN
Char
1N
S_LO
Y_PTR
_ATM
PC
ITY_C
DY
Varc
har
30
S_LO
Y_R
DM
_IT
MPR
_D
EBT_PT
YN
um
ber
22
10
0
S_LO
Y_S
TM
TM
EM
_TIE
R_ID
YVarc
har
15
S_LO
Y_S
TM
TPA
RTN
ER
_ID
YVarc
har
15
S_LO
Y_S
TM
TR
EP_FI
LE_N
AM
EY
Varc
har
500
S_LO
Y_S
TM
TR
EP_S
TATU
S_C
DY
Varc
har
30
LOY_S
TM
T_C
RTN
_S
TATU
S_C
D
S_LO
Y_S
TM
TSTM
T_TYPE_C
DY
Varc
har
30
LOY_STM
T_TYPE_
CD
S_LO
Y_S
TM
TTR
X_ID
YVarc
har
15
S_LO
Y_S
TM
TVO
UC
HER
_ID
YVarc
har
15
S_LO
Y_S
TM
T_C
RTN
PR
OG
_ID
YVarc
har
15
S_LO
Y_S
TM
T_C
RTN
STM
T_TYPE_C
DY
Varc
har
30
LOY_STM
T_TYPE_
CD
S_LO
Y_S
TM
T_IT
MB
ILL_
AM
OU
NT
YN
um
ber
22
10
0
S_LO
Y_S
TM
T_IT
MC
UR
CY_C
DY
Varc
har
20
S_LO
Y_S
TM
T_IT
MN
ON
_B
ILL_
AM
OU
NT
YN
um
ber
22
10
0
S_LO
Y_S
TM
T_IT
MPA
RTN
ER
_PR
ICE
YN
um
ber
22
10
0
S_LO
Y_S
TM
T_IT
MPT_SU
B_TYPE_ID
YVarc
har
15
S_LO
Y_S
TM
T_LO
GPA
RTN
ER
_ID
YVarc
har
15
Table
131.
New
Table
Colu
mns
in T
his
Vers
ion
Ta
ble
C
olu
mn
O
pt
Da
ta
Typ
eLen
Pre
cS
ca
leD
ef
LO
V T
yp
eLO
V
Bn
d
Siebel Data Model Reference for Industry Applications Version 8.1298
Schema Changes ■ Table Column Changes in This Version
S_LO
Y_S
TM
T_TX
NPA
RTN
ER
_PR
ICE
YN
um
ber
22
10
0
S_LO
Y_TIE
RD
WN
GR
D_APPR
V_FL
GN
Char
1N
S_LO
Y_TIE
R_C
LSAPPLY
_FL
GN
Char
1N
S_LO
Y_TIE
R_C
LSAPPR
OV
ER
_ID
YVarc
har
15
S_LO
Y_TIE
R_C
LSASS
ESS
_D
AY_C
DY
Varc
har
30
FIN
S_C
F_
AG
REEM
NT_
PAYM
T_D
UE_ D
AY
Y
S_LO
Y_TIE
R_C
LSASS
ESS
_M
ON
TH
_C
DY
Varc
har
30
MO
NTH
_N
AM
EY
S_LO
Y_TIE
R_C
LSASS
ESS
_R
EC
UR
_C
DY
Varc
har
30
LOY_TA
_R
EC
UR
_
TYPE
Y
S_LO
Y_TIE
R_C
LSEN
D_TIE
R_PD
_D
AY_C
DY
Varc
har
30
FIN
S_C
F_
AG
REEM
NT_
PAYM
T_D
UE_ D
AY
Y
S_LO
Y_TIE
R_C
LSEN
D_TIE
R_PD
_M
TH
_C
DY
Varc
har
30
MO
NTH
_N
AM
EY
S_LO
Y_TIE
R_C
LSM
IN_TIE
R_LE
NY
Num
ber
22
22
7
S_LO
Y_TIE
R_C
LSM
IN_TIE
RLE
N_U
OM
_C
DY
Varc
har
30
LOY_LE
AD
_TIM
E_
CD
Y
S_LO
Y_TIE
R_C
LSQ
UAL_
PD
_U
OM
_C
DY
Varc
har
30
LOY_LE
AD
_TIM
E_
CD
Y
S_LO
Y_TIE
R_C
LSQ
UAL_
PER
IOD
_LE
NY
Num
ber
22
22
7
S_LO
Y_TIE
R_C
LSR
EQ
UAL_
PD
_U
OM
_C
DY
Varc
har
30
REQ
UAL_
PD
_U
OM
_C
DY
S_LO
Y_TIE
R_C
LSR
EQ
UAL_
PER
IOD
_LE
NY
Num
ber
22
22
7
S_LO
Y_TIE
R_C
LSST_Q
UAL_
PD
_D
AY_C
DY
Varc
har
30
FIN
S_C
F_
AG
REEM
NT_PA
YM
T_D
UE_ D
AY
Table
131.
New
Table
Colu
mns
in T
his
Vers
ion
Ta
ble
C
olu
mn
O
pt
Da
ta
Typ
eLen
Pre
cS
ca
leD
ef
LO
V T
yp
eLO
V
Bn
d
Siebel Data Model Reference for Industry Applications Version 8.1 299
Schema Changes ■ Table Column Changes in This Version
S_LO
Y_TIE
R_C
LSST_Q
UAL_
PD
_M
TH
_C
DY
Varc
har
30
MO
NTH
_N
AM
E
S_LO
Y_TIE
R_C
LSST_TIE
R_PD
_D
AY_C
DY
Varc
har
30
FIN
S_C
F_
AG
REEM
NT_
PAYM
T_D
UE_ D
AY
Y
S_LO
Y_TIE
R_C
LSST_TIE
R_PD
_M
TH
_C
DY
Varc
har
30
MO
NTH
_N
AM
EY
S_LO
Y_TXN
AC
CR
_R
ULE
_ID
YVarc
har
15
S_LO
Y_TXN
AC
TIV
ITY_D
AY
YN
um
ber
22
10
0
S_LO
Y_TXN
AC
TIV
ITY_H
OU
RY
Num
ber
22
10
0
S_LO
Y_TXN
AM
T_VA
LY
Num
ber
22
22
7
S_LO
Y_TXN
BID
_FL
GN
Char
1N
S_LO
Y_TXN
BO
OK
ING
_D
TY
UTC
D
ate
Tim
e7
S_LO
Y_TXN
BU
LK_R
EF_
IDY
Varc
har
15
S_LO
Y_TXN
CAN
C_R
EASO
N_C
DY
Varc
har
30
LOY_C
AN
C_
REASO
N_C
DY
S_LO
Y_TXN
CH
ILD
_TXN
_ID
YVarc
har
15
S_LO
Y_TXN
CO
RP_R
EF_
NU
MY
Varc
har
15
S_LO
Y_TXN
DES
T_C
ITY_C
DY
Varc
har
30
S_LO
Y_TXN
EN
RO
L_PR
OM
O_ID
YVarc
har
15
S_LO
Y_TXN
INC
EN
TIV
_C
HO
ICE
YVarc
har
30
S_LO
Y_TXN
LOC
ATIO
N_C
DY
Varc
har
30
S_LO
Y_TXN
MK
TG
_FL
T_N
UM
YVarc
har
30
S_LO
Y_TXN
OPER
_C
AR
RIE
R_ID
YVarc
har
15
S_LO
Y_TXN
OPER
_FL
T_N
UM
YVarc
har
30
Table
131.
New
Table
Colu
mns
in T
his
Vers
ion
Ta
ble
C
olu
mn
O
pt
Da
ta
Typ
eLen
Pre
cS
ca
leD
ef
LO
V T
yp
eLO
V
Bn
d
Siebel Data Model Reference for Industry Applications Version 8.1300
Schema Changes ■ Table Column Changes in This Version
S_LO
Y_TXN
OR
DER
_N
UM
YN
um
ber
22
10
0
S_LO
Y_TXN
OR
DER
_Q
TY
YN
um
ber
22
22
7
S_LO
Y_TXN
OR
IG_AC
RL_
REF_
IDY
Varc
har
15
S_LO
Y_TXN
OR
IG_AM
OU
NT
YN
um
ber
22
22
7
S_LO
Y_TXN
OR
IG_O
RD
_IT
M_ID
YVarc
har
15
S_LO
Y_TXN
OR
IG_PO
INTS
YN
um
ber
22
10
0
S_LO
Y_TXN
OR
IGIN
_C
ITY_C
DY
Varc
har
30
S_LO
Y_TXN
OVR
_D
UP_C
HEC
K_FL
GN
Char
1N
S_LO
Y_TXN
OVR
_PR
I_FL
AG
NC
har
1N
S_LO
Y_TXN
PAC
KA
GE_C
DY
Varc
har
30
LOY_PA
CK
AG
E
S_LO
Y_TXN
PER
IOD
_D
UR
_C
DY
Varc
har
30
LOY_M
EM
_PER
_
TYPE
Y
S_LO
Y_TXN
PER
IOD
_TYPE_C
DY
Varc
har
30
LOY_M
EM
_PER
_
TYPE
Y
S_LO
Y_TXN
PYM
T_TYPE_C
DY
Varc
har
30
LOY_PA
YM
EN
T_ C
D
S_LO
Y_TXN
RD
M_IT
M_ID
YVarc
har
15
S_LO
Y_TXN
RD
M_Q
TY
YN
um
ber
22
22
7
S_LO
Y_TXN
RD
M_Q
TY_U
OM
_C
DY
Varc
har
30
LOY_U
OM
_C
DY
S_LO
Y_TXN
REAS
ON
_C
DY
Varc
har
30
S_LO
Y_TXN
REFU
ND
_B
ASIS
_C
DY
Varc
har
30
LOY_R
EFU
ND
_
BASIS
Y
S_LO
Y_TXN
REFU
ND
_PC
TY
Num
ber
22
22
7
S_LO
Y_TXN
RFN
D_O
VR
D_C
MN
TS
YVarc
har
250
Table
131.
New
Table
Colu
mns
in T
his
Vers
ion
Ta
ble
C
olu
mn
O
pt
Da
ta
Typ
eLen
Pre
cS
ca
leD
ef
LO
V T
yp
eLO
V
Bn
d
Siebel Data Model Reference for Industry Applications Version 8.1 301
Schema Changes ■ Table Column Changes in This Version
S_LO
Y_TXN
RFN
D_O
VR
D_R
SN
_C
DY
Varc
har
30
LOY_O
VR
_
REASO
N_C
DY
S_LO
Y_TXN
SO
UR
CE_C
DY
Varc
har
30
LOY_TX
N_
SO
UR
CE_C
D
S_LO
Y_TXN
TAX_AM
TY
Num
ber
22
22
7
S_LO
Y_TXN
TO
_M
EM
_N
UM
YVarc
har
30
S_LO
Y_TXN
TO
TAL_
LIN
ES
YN
um
ber
22
10
0
S_LO
Y_TXN
TR
VL_
DIS
TAN
CE
YN
um
ber
22
22
7
S_LO
Y_TXN
TXN
_S
OU
RC
E_C
DY
Varc
har
30
LOY_TX
N_
SO
UR
CE_C
D
S_LO
Y_TXN
VA
L_S
TATU
S_C
DY
Varc
har
30
LOY_TX
N_VA
L_
STA
TU
S
S_M
KTG
_S
RVR
_TS
KIM
PRT_TS
K_ID
YVarc
har
15
S_N
OTE_O
PTY
PG
RO
UP_PU
BLI
C_FL
GY
Char
1N
S_O
PTY
PG
RO
UP_PU
BLI
C_FL
GY
Char
1N
S_O
PTY_D
SG
N_R
EG
CU
ST_A
CC
NT_ID
YVarc
har
15
S_O
PTY_D
SG
N_R
EG
DS
GN
_C
OM
PLE
TE_D
TY
UTC
D
ate
Tim
e7
S_O
PTY_D
SG
N_R
EG
EN
D_EQ
UIP
_C
DY
Varc
har
30
HTIM
_EN
D_
EQ
UIP
_C
DY
S_O
PTY_D
SG
N_R
EG
ESTIM
ATE_U
NIT
SY
Num
ber
22
10
0
S_O
PTY_D
SG
N_R
EG
PR
OD
_PR
OB
_C
DY
Varc
har
30
PR
OJ_
PR
IOR
ITY_
CO
DE
Y
S_O
PTY_D
SG
N_R
EG
PR
OD
_PR
OB
_R
EASO
NY
Varc
har
50
S_O
PTY_D
SG
N_R
EG
PR
OG
_LI
FE_TIM
EY
Num
ber
22
10
0
Table
131.
New
Table
Colu
mns
in T
his
Vers
ion
Ta
ble
C
olu
mn
O
pt
Da
ta
Typ
eLen
Pre
cS
ca
leD
ef
LO
V T
yp
eLO
V
Bn
d
Siebel Data Model Reference for Industry Applications Version 8.1302
Schema Changes ■ Table Column Changes in This Version
S_O
PTY_D
SG
N_R
EG
PR
OG
_TYPE_C
DY
Varc
har
30
HTIM
_PR
OG
_
TYPE_C
DY
S_O
PTY_D
SG
N_R
EG
REG
_S
TAT_C
DY
Varc
har
30
HTIM
_STA
TU
S_ C
D
S_O
PTY_D
SG
N_R
EG
TIM
E_U
NIT
_C
DY
Varc
har
30
Mont
hs
UN
IT_VA
LUES
Y
S_O
PTY_D
SG
N_R
EG
USAG
EY
Num
ber
22
10
0
S_O
RD
_IT
M_LO
YX
BID
_FL
AG
NC
har
1N
S_O
RD
_IT
M_LO
YX
BO
OK
ING
_D
TY
UTC
D
ate
Tim
e7
S_O
RD
_IT
M_LO
YX
DIS
TAN
CE
YN
um
ber
22
22
7
S_O
RD
_IT
M_LO
YX
EN
D_D
TY
UTC
D
ate
Tim
e7
S_O
RD
_IT
M_LO
YX
OVER
RID
E_PR
I_FL
GN
Char
1N
S_O
RD
_IT
M_LO
YX
OVER
RID
E_R
EAS
ON
YVarc
har
250
S_O
RD
_IT
M_LO
YX
OVER
RID
E_R
EAS
ON
_C
DY
Varc
har
30
LOY_O
VR
_
REASO
N_C
DY
S_O
RD
_IT
M_LO
YX
PO
INTS_LO
AN
YN
um
ber
22
22
7
S_O
RD
_IT
M_LO
YX
PO
INTS_U
SED
YN
um
ber
22
22
7
S_O
RD
_IT
M_LO
YX
STA
RT_D
TY
UTC
D
ate
Tim
e7
S_O
RD
_IT
M_LO
YX
TR
VL_
DIS
TAN
CE
YN
um
ber
22
22
7
S_O
RD
_IT
M_LO
YX
TXN
_AM
OU
NT
YN
um
ber
22
22
7
S_O
RD
_IT
M_LO
YX
TXN
_PO
INTS
YN
um
ber
22
22
7
S_O
RD
_IT
M_LO
YX
VO
UC
HER
_ID
YVarc
har
15
S_O
RD
_IT
M_LO
YX
VO
UC
HER
_Q
TY
YN
um
ber
10
10
0
Table
131.
New
Table
Colu
mns
in T
his
Vers
ion
Ta
ble
C
olu
mn
O
pt
Da
ta
Typ
eLen
Pre
cS
ca
leD
ef
LO
V T
yp
eLO
V
Bn
d
Siebel Data Model Reference for Industry Applications Version 8.1 303
Schema Changes ■ Table Column Changes in This Version
S_O
RD
ER
BIL
L_PR
OFI
LE_ID
YVarc
har
15
S_O
RD
ER
_IT
EM
AG
EN
CY_N
AM
EY
Varc
har
100
S_O
RD
ER
_IT
EM
BIL
L_PR
OFI
LE_ID
YVarc
har
15
S_O
RD
ER
_IT
EM
EN
D_PH
ON
E_N
UM
YVarc
har
20
S_O
RD
ER
_IT
EM
OR
IG_AC
CN
T_N
UM
YVarc
har
50
S_O
RD
ER
_IT
EM
OR
IG_PIN
YVarc
har
50
S_O
RD
ER
_IT
EM
PO
RT_N
UM
YVarc
har
20
S_O
RD
ER
_IT
EM
RLT
D_S
RVC
_PR
OD
_ID
YVarc
har
15
S_O
RD
ER
_IT
EM
RLT
DSR
VC
AS
T_IN
T_ID
YVarc
har
15
S_O
RD
ER
_IT
EM
RQ
ST_PO
RT_D
ATE
YU
TC
D
ate
Tim
e7
S_O
RD
ER
_IT
EM
STA
RT_PH
ON
E_N
UM
YVarc
har
20
S_O
RD
ER
_IT
EM
SV
C_PR
OVID
ER
YVarc
har
100
S_O
RD
ER
_IT
EM
SV
C_ZIP
_C
OD
EY
Varc
har
30
S_O
RD
ER
_IT
EM
_O
MPR
EV_B
ILL_
PR
OF_
IDY
Varc
har
15
S_O
RD
ER
_IT
EM
_O
MPR
EV_N
ET_PR
IY
Num
ber
25
10
0
S_O
RD
ER
_IT
EM
_O
MSU
B_A
CTIO
N_C
DY
Varc
har
30
S_O
RG
_EXT
AIA
_IN
TEG
_ID
YVarc
har
150
S_O
RG
_EXT
APPR
OVA
L_S
TATU
S_C
DY
Varc
har
30
APPR
OVAL_
S
TATU
SY
S_O
RG
_EXT
PR
_BIL
L_PR
FL_ID
YVarc
har
15
S_O
RG
_G
RO
UP
AIA
_IN
TEG
_ID
YVarc
har
150
S_O
RG
_G
RO
UP
MN
TH
LY_H
S_C
OST_AM
TY
Num
ber
22
10
0
Table
131.
New
Table
Colu
mns
in T
his
Vers
ion
Ta
ble
C
olu
mn
O
pt
Da
ta
Typ
eLen
Pre
cS
ca
leD
ef
LO
V T
yp
eLO
V
Bn
d
Siebel Data Model Reference for Industry Applications Version 8.1304
Schema Changes ■ Table Column Changes in This Version
S_O
RG
_G
RO
UP
PR
_D
OM
ESTC
_LA
NG
_ID
YVarc
har
5
S_PA
RTY
AD
MIN
_AD
J_FL
GN
Char
1N
S_PG
RO
UP
CO
NFI
DEN
TIA
L_FL
GY
Char
1N
S_PG
RO
UP
PR
_PO
STN
_ID
YVarc
har
15
S_PG
RO
UP
SU
PPR
ESS
_FL
GY
Char
1N
S_PO
STN
PG
RO
UP_ID
YVarc
har
15
S_PO
STN
_C
ON
NEXT_C
ALL
_D
TY
UTC
D
ate
Tim
e7
S_PO
STN
_C
ON
NEXT_C
ALL
_O
BJE
CTIV
YVarc
har
1500
S_PR
D_C
MPLN
T_LS
CO
MB_PR
OD
_FL
GY
Char
1N
S_PR
D_C
MPLN
T_LS
PR
D_S
UB_TR
AC
K_N
UM
YVarc
har
30
S_PR
D_C
MPLN
T_LS
PR
E_M
KT_APPL_
NU
MY
Varc
har
30
S_PR
D_C
MPLN
T_LS
SEVEN
_D
AY_R
PT_FL
GY
Char
1N
S_PR
D_C
MPLN
T_LS
TH
IRTY_D
AY_R
PT_FL
GY
Char
1N
S_PR
OD
_IN
TB
ILLI
NG
_TYPE_C
DY
Varc
har
30
S_PR
OD
_IN
TD
PN
DN
CY_VLD
TN
_FL
GY
Char
1N
S_PR
OD
_IN
TLO
Y_EX
PR
_BAS
IS_C
DY
Varc
har
30
LOY_EXPR
_
BASIS
_C
DY
S_PR
OD
_IN
TLO
Y_N
UM
_YEAR
YN
um
ber
22
22
7
S_PR
OD
_IN
TLO
Y_PER
IOD
_D
UR
YN
um
ber
22
22
7
S_PR
OD
_IN
TLO
Y_PER
IOD
_TYPE_C
DY
Varc
har
30
LOY_M
EM
_PER
_
TYPE
Y
S_PR
OD
_IN
TLO
Y_SEQ
_TYPE_C
DY
Varc
har
30
LOY_S
EQ
_TYPE_
CD
Y
Table
131.
New
Table
Colu
mns
in T
his
Vers
ion
Ta
ble
C
olu
mn
O
pt
Da
ta
Typ
eLen
Pre
cS
ca
leD
ef
LO
V T
yp
eLO
V
Bn
d
Siebel Data Model Reference for Industry Applications Version 8.1 305
Schema Changes ■ Table Column Changes in This Version
S_PR
OD
_IN
TLO
Y_SER
IES_PR
EFI
XY
Varc
har
15
S_PR
OD
_IN
TLO
Y_VC
H_EX
P_D
AY_C
DY
Varc
har
30
FIN
S_C
F_
AG
REEM
NT_
PAYM
T_D
UE_D
AY
Y
S_PR
OD
_IN
TLO
Y_VC
H_EX
P_M
TH
_C
DY
Varc
har
30
MO
NTH
_N
AM
EY
S_PR
OD
_IN
TLO
Y_VC
HR
EXP_PR
DD
UR
YN
um
ber
22
22
7
S_PR
OD
_IN
TLO
Y_VEXP_PERTYP_C
DY
Varc
har
30
LOY_V
CH
R_
EX
PIR
Y_PER
IOD
_
TYPE
Y
S_PR
OD
_IN
TPA
YM
NT_TYPE_C
DY
Varc
har
30
BIL
L_PA
YM
EN
T_
TYPE
Y
S_PR
OD
_IN
TPER
MIT
TED
_TYPE
YVarc
har
250
S_PR
OD
_IN
TR
EQ
D_S
ER
VIC
E_FL
GY
Char
1N
S_PR
OD
_IN
T_LS
XC
OM
_D
EV
_N
AM
EY
Varc
har
50
S_PR
OD
_IN
T_LS
XC
UTO
FF_TH
RESH
OLD
YN
um
ber
22
22
7
S_PR
OD
_IN
T_LS
XM
AX_PR
OD
UC
T_Q
TY
YN
um
ber
22
22
7
S_PR
OD
_R
EL
SV
C_C
HR
G_C
DY
Varc
har
30
S_PR
OM
_PM
TR
XEFF
_EN
D_TS
YU
TC
D
ate
Tim
e7
S_PR
OM
_PM
TR
XEFF
_STA
RT_TS
YU
TC
D
ate
Tim
e7
S_PR
SP_C
ON
TAC
TEM
AIL
_STA
TU
S_C
DY
Varc
har
30
EM
AIL
_STA
TU
SY
S_PR
SP_C
ON
TAC
TLS
T_EM
AIL
AD
R_U
PD
YU
TC
D
ate
Tim
e7
S_PR
SP_C
ON
TAC
TN
UM
_H
AR
D_B
NC
EY
Num
ber
22
10
0
S_PR
SP_C
ON
TAC
TN
UM
_SO
FT_B
NC
EY
Num
ber
22
10
0
Table
131.
New
Table
Colu
mns
in T
his
Vers
ion
Ta
ble
C
olu
mn
O
pt
Da
ta
Typ
eLen
Pre
cS
ca
leD
ef
LO
V T
yp
eLO
V
Bn
d
Siebel Data Model Reference for Industry Applications Version 8.1306
Schema Changes ■ Table Column Changes in This Version
S_PS_C
ON
TAC
TATT
AC
H_C
NTR
YN
um
ber
22
10
0
S_PS_C
ON
TAC
TSTU
DEN
T_FL
GY
Char
1N
S_PS_C
ON
TAC
TVETER
AN
_FL
GY
Char
1N
S_Q
UO
_IT
M_LO
YX
BID
_FL
AG
NC
har
1N
S_Q
UO
_IT
M_LO
YX
BO
OK
ING
_D
TY
UTC
D
ate
Tim
e7
S_Q
UO
_IT
M_LO
YX
DIS
TAN
CE
YN
um
ber
22
22
7
S_Q
UO
_IT
M_LO
YX
EN
D_D
TY
UTC
D
ate
Tim
e7
S_Q
UO
_IT
M_LO
YX
OVER
RID
E_PR
I_FL
GN
Char
1N
S_Q
UO
_IT
M_LO
YX
OVER
RID
E_R
EAS
ON
YVarc
har
250
S_Q
UO
_IT
M_LO
YX
OVER
RID
E_R
EAS
ON
_C
DY
Varc
har
30
LOY_O
VR
_
REASO
N_C
DY
S_Q
UO
_IT
M_LO
YX
PO
INTS_LO
AN
YN
um
ber
22
22
7
S_Q
UO
_IT
M_LO
YX
PO
INTS_U
SED
YN
um
ber
22
22
7
S_Q
UO
_IT
M_LO
YX
STA
RT_D
TY
UTC
D
ate
Tim
e7
S_Q
UO
_IT
M_LO
YX
TR
VL_
DIS
TAN
CE
YN
um
ber
22
22
7
S_Q
UO
_IT
M_LO
YX
TXN
_AM
OU
NT
YN
um
ber
22
22
7
S_Q
UO
_IT
M_LO
YX
TXN
_PO
INTS
YN
um
ber
22
22
7
S_Q
UO
_IT
M_LO
YX
VO
UC
HER
_ID
YVarc
har
15
S_Q
UO
_IT
M_LO
YX
VO
UC
HER
_Q
TY
YN
um
ber
10
10
0
S_Q
UO
TE_IT
EM
AG
EN
CY_N
AM
EY
Varc
har
100
S_Q
UO
TE_IT
EM
BIL
L_PR
OFI
LE_ID
YVarc
har
15
Table
131.
New
Table
Colu
mns
in T
his
Vers
ion
Ta
ble
C
olu
mn
O
pt
Da
ta
Typ
eLen
Pre
cS
ca
leD
ef
LO
V T
yp
eLO
V
Bn
d
Siebel Data Model Reference for Industry Applications Version 8.1 307
Schema Changes ■ Table Column Changes in This Version
S_Q
UO
TE_IT
EM
EN
D_PH
ON
E_N
UM
YVarc
har
20
S_Q
UO
TE_IT
EM
OR
IG_AC
CN
T_N
UM
YVarc
har
50
S_Q
UO
TE_IT
EM
OR
IG_PIN
YVarc
har
50
S_Q
UO
TE_IT
EM
PO
RT_N
UM
YVarc
har
20
S_Q
UO
TE_IT
EM
RLT
D_S
RVC
_PR
OD
_ID
YVarc
har
15
S_Q
UO
TE_IT
EM
RLT
DSR
VC
AS
T_IN
T_ID
YVarc
har
15
S_Q
UO
TE_IT
EM
RQ
ST_PO
RT_D
ATE
YTim
e
Sta
mp
7
S_Q
UO
TE_IT
EM
STA
RT_PH
ON
E_N
UM
YVarc
har
20
S_Q
UO
TE_IT
EM
SV
C_PR
OVID
ER
YVarc
har
100
S_Q
UO
TE_IT
EM
SV
C_ZIP
_C
OD
EY
Varc
har
30
S_Q
UO
TE_IT
EM
_O
MPR
EV_B
ILL_
PR
OF_
IDY
Varc
har
15
S_Q
UO
TE_IT
EM
_O
MPR
EV_N
ET_PR
IY
Num
ber
25
10
0
S_Q
UO
TE_IT
EM
_O
MSU
B_A
CTIO
N_C
DY
Varc
har
30
S_Q
UO
TE_IT
M_SPA
AU
TH
_C
OST_AM
TY
Num
ber
22
22
7
S_Q
UO
TE_IT
M_SPA
SPA
_IT
M_AC
TIO
N_C
DY
Varc
har
30
HTIM
_Q
UO
TE_
AC
TIO
N_TYPE
S_Q
UO
TE_IT
M_SPA
STA
TU
S_U
PD
_BY
YVarc
har
15
S_R
EV
NU
SAG
EY
Num
ber
22
10
0
S_SAM
PLE
_TX
NAPPR
OV
ER
_ID
YVarc
har
15
S_SAM
PLE
_TX
NN
UM
_PA
CK
AG
E_R
EC
DY
Num
ber
22
10
0
S_SAM
PLE
_TX
NN
UM
_PA
CK
AG
E_SEN
TY
Num
ber
22
10
0
S_SAM
PLE
_TX
NO
LD_TXN
_ID
YVarc
har
15
Table
131.
New
Table
Colu
mns
in T
his
Vers
ion
Ta
ble
C
olu
mn
O
pt
Da
ta
Typ
eLen
Pre
cS
ca
leD
ef
LO
V T
yp
eLO
V
Bn
d
Siebel Data Model Reference for Industry Applications Version 8.1308
Schema Changes ■ Table Column Changes in This Version
S_SAM
PLE
_TX
NPK
G_A
RR
IVA
L_D
TY
UTC
D
ate
Tim
e7
S_SAM
PLE
_TX
NPK
G_D
LVRY_D
TY
UTC
D
ate
Tim
e7
S_SAM
PLE
_TX
NR
OO
T_TX
N_ID
YVarc
har
15
S_SAM
PLE
_TX
NSR
C_TXN
_ID
YVarc
har
15
S_SAM
PLE
_TX
NTR
AC
KIN
G_N
UM
YVarc
har
30
S_SD
_PIM
_R
OW
CA
L_R
EPEAT_PA
TTER
NY
Varc
har
500
S_SD
_U
SER
_M
AP
SEB
L_U
SER
_G
RP_C
DY
Varc
har
30
S_SD
_U
SER
_M
AP
SEB
L_U
SR
EX
TR
AC
T_D
TY
UTC
D
ate
Tim
e7
S_SIG
N_D
ISC
_LS
DIS
C_SU
B_TYPE_C
DY
Varc
har
30
S_SIG
N_D
ISC
_LS
DIS
C_TYPE_C
DY
Varc
har
30
S_SM
PL_
TXN
_IT
EM
MA
X_O
RD
ER
_Q
TY
YN
um
ber
22
22
7
S_SM
PL_
TXN
_IT
EM
MIN
_O
RD
ER
_Q
TY
YN
um
ber
22
22
7
S_SM
PL_
TXN
_IT
EM
PR
OD
_ALL
OC
_ID
YVarc
har
15
S_SM
PL_
TXN
_IT
EM
REC
EIV
ED
_D
TY
UTC
D
ate
Tim
e7
S_SM
PL_
TXN
_IT
EM
STK
_PER
D_EM
P_ID
YVarc
har
15
S_SR
CFU
NN
EL_
STA
GE_ID
YVarc
har
15
S_SR
CM
UTL_
EXC
LUSIV
E_FL
GN
Char
1Y
S_SR
CPC
T_A
LLO
C_FL
GN
Char
1Y
S_SR
CPR
E_LO
AD
_TSK
_W
F_ID
YVarc
har
15
S_SR
CPS
T_LN
CH
_TS
K_W
F_ID
YVarc
har
15
Table
131.
New
Table
Colu
mns
in T
his
Vers
ion
Ta
ble
C
olu
mn
O
pt
Da
ta
Typ
eLen
Pre
cS
ca
leD
ef
LO
V T
yp
eLO
V
Bn
d
Siebel Data Model Reference for Industry Applications Version 8.1 309
Schema Changes ■ Table Column Changes in This Version
S_SR
CPS
T_LO
AD
_TSK
_W
F_ID
YVarc
har
15
S_SR
CR
EC
UR
RIN
G_FL
GN
Char
1Y
S_SR
C_PA
YM
EN
TAPPR
V_PO
STN
_ID
YVarc
har
15
S_STA
TE_LI
C_LS
ON
E_SAM
PLE
_FL
GN
Char
1N
S_STK
_PER
D_EM
PAPPR
OV
ER
_ID
YVarc
har
15
S_STK
_PER
D_EM
PAU
DIT
_EM
P_ID
YVarc
har
15
S_STO
CK
_EM
PIN
V_AU
DIT
_R
PT_ID
YVarc
har
15
S_STO
CK
_EM
PIN
VEN
TO
RY_C
OU
NT
YN
um
ber
22
22
7
S_TM
PL_
PLA
NIT
EM
CAS
E_TYPE_C
DY
Varc
har
30
S_U
SER
DAY_O
VER
DU
E_IN
VC
HK
YN
um
ber
22
10
0
S_U
SER
DAYS
_C
OM
P_TR
NG
YN
um
ber
22
10
0
S_U
SER
DAYS
_IN
V_AU
DIT
YN
um
ber
22
10
0
S_U
SER
DAYS
_O
VER
DU
E_A
CK
YN
um
ber
22
10
0
S_U
SER
DAYS
_R
EPO
RT_LO
SS
YN
um
ber
22
10
0
S_U
SER
DAYS
_SM
PL_
WA
RN
ING
YN
um
ber
22
10
0
S_U
SER
DAYS_TR
AN
SFE
R_IN
YN
um
ber
22
10
0
S_U
SER
DAYS
_TR
SFR
_D
ISC
RY
Num
ber
22
10
0
S_U
SER
INTEG
_U
SER
_FL
GN
Char
1N
S_U
SER
LAS
T_U
NC
OM
PR
ESS
_D
TY
UTC
D
ate
Tim
e7
S_U
SER
MA
X_SAM
PLE
_C
ALL
YN
um
ber
22
10
0
S_U
SER
MIN
_IN
VEN
TO
RY
YN
um
ber
22
10
0
S_U
SER
STA
TU
S_C
DY
Varc
har
30
US
ER
_S
TATU
SY
Table
131.
New
Table
Colu
mns
in T
his
Vers
ion
Ta
ble
C
olu
mn
O
pt
Da
ta
Typ
eLen
Pre
cS
ca
leD
ef
LO
V T
yp
eLO
V
Bn
d
Siebel Data Model Reference for Industry Applications Version 8.1310
Schema Changes ■ Table Column Changes in This Version
S_W
FA_IN
ST_LO
GW
OR
KIT
EM
_ID
_VA
LY
Varc
har
15
S_XM
LP_R
EP_TM
PL
RPT_H
AS
_PA
RA
M_FL
GN
Char
1N
S_XM
LP_R
EP_TM
PL
RPT_U
PLO
AD
_STA
T_C
DY
Varc
har
30
S_XM
LP_R
EP_TM
PL
XM
LP_R
EP_IN
TO
BJ_
IDY
Varc
har
15
Table
131.
New
Table
Colu
mns
in T
his
Vers
ion
Ta
ble
C
olu
mn
O
pt
Da
ta
Typ
eLen
Pre
cS
ca
leD
ef
LO
V T
yp
eLO
V
Bn
d
Schema Changes ■ Table Index Changes in This Version
Siebel Data Model Reference for Industry Applications Version 8.1 311
Changed Table Columns in This VersionTable 132 lists table columns that have changed in this version.
Table Index Changes in This VersionThis topic lists the following changes to table indexes that have been implemented in this version of the schema:
■ “New Table Indexes in This Version” on page 312
■ “Changed Table Index in This Version” on page 317
Table 132. Table Columns That Have Changed in This Version
Table Name Column Type of Change
Previous Value New Value
S_ASSET RATE_STATE Length 10 30
S_AUDIT_ITEM ITEM_IDEN_NUM Default 0
S_INST_UPG_HIST ADDL_LANG_INSTALED Length 50 100
S_INVC_ADJ_ITEM INTEGRATION_ID Varchar 30 450
S_INVC_ITM_DTL INTEGRATION_ID Varchar 30 450
S_INVOICE INTEGRATION_ID Varchar 30 450
S_INVOICE_ADJ INTEGRATION_ID Varchar 30 450
S_INVOICE_DTL INTEGRATION_ID Varchar 30 450
S_LOY_MEMBER VAL_SCORE Length 50 30
S_LOY_PROD_PT PARTNER_ID Opt N Y
S_LOY_STMT_CRTN TIER_ID Opt N Y
S_LOY_STMT_LOG MEMBER_ID Opt N Y
S_LOY_TIER_CLS START_QUAL_PD_CD Active Enrollment/Anniversary Date
LOV Type LOY_START_ QUAL_PER_CD
LOY_START_QUAL_PER_CD
S_RT_SVC NAME Length 30 75
S_RT_SVC_METH NAME Length 30 75
S_RT_SVC_M_ARG NAME Length 30 75
S_SRV_REQ2_FNX WTR_COUNTRY Length 25 30
S_TIMEZONE UTC_OFFSET Opt N Y
S_XMLP_REP_TMPL INT_OBJ_NAME Opt N Y
Siebel Data Model Reference for Industry Applications Version 8.1
Schema Changes ■ Table Index Changes in This Version
312
■ “Table Index That Was Deleted from This Version” on page 318
New Table Indexes in This VersionTable 133 lists table indexes that are new in this version. Some column headings are abbreviated as follows:
■ A indicates active.
■ U indicates unique.
Table 133. Table Indexes That Are New in This Version
Table Index A U Columns
S_ACT_PRDINT S_ACT_PRDINT_F52 Y N (PROD_ALLOC_ID)
S_ACT_PROD_APPL S_ACT_PROD_APPL_F3 Y N (PROD_ALLOC_ID)
S_ACT_SIGN S_ACT_SIGN_F4 Y N (INV_AUDIT_RPT_ID)
S_ACT_SIGN S_ACT_SIGN_F5 Y N (SAMPLE_TXN_ID)
S_ACT_SIGN S_ACT_SIGN_U1 Y Y (ACTIVITY_ID,SIGN_NUM, INV_AUDIT_RPT_ID,SAMPLE_TXN_ID,CONFLICT_ID)
S_ASSESS S_ASSESS_F55 Y N (INV_AUDIT_RPT_ID)
S_ASSESS S_ASSESS_F56 Y N (LIT_ID)
S_ASSET S_ASSET_M7 Y N (STATUS_CD,REGISTERED_DT)
S_ASSET S_ASSET_F74 Y N (BILL_PROFILE_ID)
S_CAMP_CON S_CAMP_CON_M3 Y N (CAMP_LD_WAVE_ID,BATCH_NUM, MARK_FOR_DEL_FLG,STAT_CD)
S_CASE S_CASE_F4 Y N (AUDIT_EMP_ID)
S_CASE S_CASE_F5 Y N (MSTR_CASE_ID)
S_CASE S_CASE_F6 Y N (APPLICANT_ID)
S_CASE S_CASE_F7 Y N (PS_APPL_ID)
S_COMMUNICATION S_COMMUNICATN_F19 Y N (MKT_SRVY_ID)
S_COMMUNICATION S_COMMUNICATN_F20 Y N (LEAD_ID)
S_COMMUNICATION S_COMUNICATION_M51 Y N (PGROUP_PUBLIC_FLG)
S_CONTACT S_CONTACT_M24 Y N (PRIV_FLG,LAST_NAME,FST_NAME)
S_CONTACT S_CONTACT_F65 Y N (MSTR_CASE_ID)
S_CONTACT_LSX S_CONTACT_LSX_F2 Y N (MASTER_SIGN_ID)
S_DCP_URL S_DCP_URL_F1 Y N (LAND_SITE_ID)
Schema Changes ■ Table Index Changes in This Version
Siebel Data Model Reference for Industry Applications Version 8.1 313
S_DMND_CRTN_PRG S_DMND_CRTNPRG_F22 Y N (ACT_OWNER_PER_ID)
S_DMND_CRTN_PRG S_DMND_CRTNPRG_F18 Y N (MKT_SRVY_ID)
S_DMND_CRTN_PRG S_DMND_CRTNPRG_F19 Y N (BU_ID)
S_DMND_CRTN_PRG S_DMND_CRTNPRG_F20 Y N (OWNER_POSTN_ID)
S_DMND_CRTN_PRG S_DMND_CRTNPRG_F21 Y N (ORIG_CREATOR_ID)
S_DOC_QUOTE S_DOC_QUOTE_F65 Y N (ATTR_ID)
S_DOC_QUOTE S_DOC_QUOTE_F40 Y N (BILL_PROFILE_ID)
S_EMP_PER S_EMP_PER_F50 Y N (LS_APPROVER_ID)
S_EMP_PRDINT S_EMP_PRDINT_U1 Y Y (EMP_ID,RELATION_TYPE,PRDINT_ID, START_DT,END_DT,ALLOC_TYPE_CD,CONFLICT_ID)
S_EMP_PRDINT S_EMP_PRDINT_U2 Y Y (PRDINT_ID,RELATION_TYPE,EMP_ID,START_DT,END_DT,ALLOC_TYPE_CD,CONFLICT_ID)
S_EVT_ACT S_EVT_ACT_F82 Y N (BNFT_PLAN_ITM_ID)
S_EVT_ACT S_EVT_ACT_F42 Y N (LEAD_ID)
S_EVT_ACT S_EVT_ACT_F43 Y N (SRC_EVT_REG_ID)
S_EVT_ACT_FNX S_EVT_ACT_FNX_M1 Y N (PGROUP_PUBLIC_FLG)
S_EVT_ACT_LSX S_EVT_ACT_LSX_F5 Y N (SUPERVISOR_ID)
S_EVT_FUL_REQ S_EVT_FUL_REQ_F16 Y N (EVTLOC_ID)
S_FCSTSER_POSTN S_FCSTSER_POSTN_F3 Y N (SUBMIT_TO_PSTN_ID)
S_INCIDENT S_INCIDENT_F5 Y N (SIGN_EVT_ID)
S_INVC_ADJ_ITEM S_INVC_ADJ_ITEM_II Y N (INTEGRATION_ID)
S_INVC_ADJ_ITEM S_INVC_ADJ_ITEM_U1 Y Y (INVOICE_ADJ_ID,INVOICE_ITEM_ID,INV_ITEM_DETAIL_ID,CONFLICT_ID)
S_INVOICE S_INVOICE_M51 Y N (INVC_DT,SRC_ID)
S_INVOICE S_INVOICE_M1 Y N (INVC_DT)
S_INVOICE_ADJ S_INVOICE_ADJ_II Y N (INTEGRATION_ID)
S_LOY_ACRL_ITM S_LOY_ACRL_ITM_F8 Y N (PT_SUB_TYPE_ID)
S_LOY_ACTCRTR S_LOY_ACTCRTR_F6 Y N (PT_SUB_TYPE_ID)
S_LOY_ACTCRTR S_LOY_ACTCRTR_F4 Y N (PROD_ID)
S_LOY_ACTCRTR S_LOY_ACTCRTR_F5 Y N (PROMO_RULE_ID)
Table 133. Table Indexes That Are New in This Version
Table Index A U Columns
Siebel Data Model Reference for Industry Applications Version 8.1
Schema Changes ■ Table Index Changes in This Version
314
S_LOY_ADN_LANG S_LOY_ADN_LANG_F1 Y N (LANG_ID)
S_LOY_ATTRDEFN S_LOY_ATTRDEFN_F4 Y N (CURCY_CD)
S_LOY_ATTRDEFN S_LOY_ATTRDEFN_F5 Y N (PROGRAM_ID)
S_LOY_ATTRIB S_LOY_ATTRIB_F2 Y N (MEMBER_ID)
S_LOY_BCKT_TXN S_LOY_BCKT_TXN_F2 Y N (PROMO_BUCKET_ID)
S_LOY_CRTR_VAL S_LOY_CRTR_VAL_F1 Y N (CRITERIA_ID)
S_LOY_MEM_BU S_LOY_MEM_BU_F1 Y N (BU_ID)
S_LOY_MEM_BU S_LOY_MEM_BU_F2 Y N (MEMBER_ID)
S_LOY_MEM_CON S_LOY_MEM_CON_F2 Y N (MEMBER_ID)
S_LOY_MEM_PSTN S_LOY_MEM_PSTN_F1 Y N (MEMBER_ID)
S_LOY_MEM_PSTN S_LOY_MEM_PSTN_F2 Y N (POSTN_ID)
S_LOY_MEM_TIER S_LOY_MEM_TIER_F10 Y N (MEMBER_ID)
S_LOY_MEM_TIER S_LOY_MEM_TIER_F6 Y N (FUTR_TIER_ID)
S_LOY_MEM_TIER S_LOY_MEM_TIER_F7 Y N (APPLIED_PROMO_ID)
S_LOY_MEM_TIER S_LOY_MEM_TIER_F8 Y N (APPLD_PROMO_RL_ID)
S_LOY_MEM_TIER S_LOY_MEM_TIER_F9 Y N (BULK_REF_ID)
S_LOY_MEM_TIER S_LOY_MEM_TIER_M2 Y N (MEM_TIER_NUM)
S_LOY_MEM_VCHR S_LOY_MEM_VCHR_F4 Y N (ORIG_VCHR_ID)
S_LOY_MEM_VCHR S_LOY_MEM_VCHR_F5 Y N (TXN_ITEM_ID)
S_LOY_MEM_VCHR S_LOY_MEM_VCHR_F6 Y N (MERGE_MEM_ID)
S_LOY_MEM_VCHR S_LOY_MEM_VCHR_F7 Y N (CONSUMED_TXN_ID)
S_LOY_MEMBER S_LOY_MEMBER_F15 Y N (MEMSHIP_SCHEME_ID)
S_LOY_MEMBER S_LOY_MEMBER_F16 Y N (BU_ID)
S_LOY_MEMBER S_LOY_MEMBER_F17 Y N (CURCY_CD)
S_LOY_MEMBER S_LOY_MEMBER_F18 Y N (LANG_ID)
S_LOY_MEMBER S_LOY_MEMBER_F19 Y N (SURV_MEM_ID)
S_LOY_MEMPTRPG S_LOY_MEMPTRPG_F3 Y N (MEMBER_ID)
S_LOY_PROD_PT S_LOY_PROD_PT_F4 Y N (CURCY_CD)
S_LOY_PROD_PT S_LOY_PROD_PT_F5 Y N (PRICE_AMT_CURCY_CD)
S_LOY_PROD_PT S_LOY_PROD_PT_F6 Y N (PROGRAM_ID)
S_LOY_PROD_PT S_LOY_PROD_PT_U1 Y Y (PROD_PT_UID,CONFLICT_ID)
Table 133. Table Indexes That Are New in This Version
Table Index A U Columns
Schema Changes ■ Table Index Changes in This Version
Siebel Data Model Reference for Industry Applications Version 8.1 315
S_LOY_PROG_BU S_LOY_PROG_BU_F1 Y N (BU_ID)
S_LOY_PROG_BU S_LOY_PROG_BU_F2 Y N (PROG_ID)
S_LOY_PROG_ORG S_LOY_PROG_ORG_F2 Y N (PROG_ID)
S_LOY_PROG_ORG S_LOY_PROG_ORG_F3 Y N (PRICING_RULE_ID)
S_LOY_PROGRAM S_LOY_PROGRAM_F2 Y N (BU_ID)
S_LOY_PROMO S_LOY_PROMO_F8 Y N (BU_ID)
S_LOY_PROMO_ATR S_LOY_PROMO_ATR_F2 Y N (LOY_PROMO_ID)
S_LOY_PROMO_BU S_LOY_PROMO_BU_F1 Y N (BU_ID)
S_LOY_PROMO_BU S_LOY_PROMO_BU_F2 Y N (PROMO_ID)
S_LOY_PROMO_CST S_LOY_PROMO_CST_F2 Y N (COST_CURCY_CD)
S_LOY_PROMO_CST S_LOY_PROMO_CST_F3 Y N (PROMO_ID)
S_LOY_PROMO_RL S_LOY_PROMO_RL_F1 Y N (PROMO_ID)
S_LOY_PROMO_TR S_LOY_PROMO_TR_F2 Y N (PROMOTION_ID)
S_LOY_PROMOMEM S_LOY_PROMOMEM_F2 Y N (PROMO_ID)
S_LOY_PROMOPRD S_LOY_PROMOPRD_F4 Y N (PROMO_ID)
S_LOY_PT_BLCK S_LOY_PT_BLCK_F8 Y N (CURCY_CD)
S_LOY_PT_BLCK S_LOY_PT_BLCK_F9 Y N (SALE_CURCY_CD)
S_LOY_PTR_ATMP S_LOY_PTR_ATMP_F2 Y N (PARTNER_ID)
S_LOY_PTR_ZONE S_LOY_PTR_ZONE_F1 Y N (PARTNER_ID)
S_LOY_SR_TXN S_LOY_SR_TXN_F2 Y N (SRV_REQ_ID)
S_LOY_STMT S_LOY_STMT_F6 Y N (MEM_TIER_ID)
S_LOY_STMT S_LOY_STMT_F7 Y N (PARTNER_ID)
S_LOY_STMT S_LOY_STMT_F8 Y N (TRX_ID)
S_LOY_STMT S_LOY_STMT_F9 Y N (VOUCHER_ID)
S_LOY_STMT_ATTR S_LOY_STMT_ATTR_F2 Y N (STMT_ID)
S_LOY_STMT_CRTN S_LOY_STMT_CRTN_F1 Y N (PROG_ID)
S_LOY_STMT_CRTN S_LOY_STMT_CRTN_F2 Y N (TIER_ID)
S_LOY_STMT_ITM S_LOY_STMT_ITM_F4 Y N (STMT_ID)
S_LOY_STMT_ITM S_LOY_STMT_ITM_F5 Y N (PT_SUB_TYPE_ID)
S_LOY_STMT_LOG S_LOY_STMT_LOG_F3 Y N (PARTNER_ID)
S_LOY_STMT_TXN S_LOY_STMT_TXN_F7 Y N (CURCY_CD)
Table 133. Table Indexes That Are New in This Version
Table Index A U Columns
Siebel Data Model Reference for Industry Applications Version 8.1
Schema Changes ■ Table Index Changes in This Version
316
S_LOY_STMT_TXN S_LOY_STMT_TXN_F8 Y N (STMT_ID)
S_LOY_STMT_VCHR S_LOY_STMT_VCHR_F2 Y N (STMT_ID)
S_LOY_TIER S_LOY_TIER_F3 Y N (TIER_CLASS_ID)
S_LOY_TIER_CLS S_LOY_TIER_CLS_F1 Y N (APPROVER_ID)
S_LOY_TIER_CLS S_LOY_TIER_CLS_F2 Y N (PROGRAM_ID)
S_LOY_TIER_MAP S_LOY_TIER_MAP_F3 Y N (PROG_TIER_ID)
S_LOY_TXN S_LOY_TXN_F19 Y N (ACCR_RULE_ID)
S_LOY_TXN S_LOY_TXN_F20 Y N (BULK_REF_ID)
S_LOY_TXN S_LOY_TXN_F21 Y N (BU_ID)
S_LOY_TXN S_LOY_TXN_F22 Y N (CURCY_CD)
S_LOY_TXN S_LOY_TXN_F23 Y N (ORIG_ACRL_REF_ID)
S_LOY_TXN S_LOY_TXN_F24 Y N (CHILD_TXN_ID)
S_LOY_TXN S_LOY_TXN_F25 Y N (ORIG_ORD_ITM_ID)
S_LOY_TXN S_LOY_TXN_F26 Y N (RDM_ITM_ID)
S_LOY_TXN S_LOY_TXN_F27 Y N (ENROL_PROMO_ID)
S_LOY_TXN S_LOY_TXN_F28 Y N (OPER_CARRIER_ID)
S_LOY_TXN_BU S_LOY_TXN_BU_F1 Y N (BU_ID)
S_LOY_TXN_BU S_LOY_TXN_BU_F2 Y N (TXN_ID)
S_LOYAL_PROF S_LOYAL_PROF_F1 Y N (ACCNT_ID)
S_MDF S_MDF_F9 Y N (OWNER_ID)
S_MDF S_MDF_F10 Y N (REGION_ID)
S_MKTG_SRVR_TSK S_MKTG_SRVR_TSK_F8 Y N (IMPRT_TSK_ID)
S_OPTY S_OPTY_M60 Y N (PGROUP_PUBLIC_FLG)
S_OPTY_DSGN_REG S_OPTY_DSGN_REG_F8 Y N (CUST_ACCNT_ID)
S_ORD_ITM_LOYX S_ORD_ITM_LOYX_F2 Y N (VOUCHER_ID)
S_ORDER S_ORDER_F44 Y N (BILL_PROFILE_ID)
S_ORDER_ITEM S_ORDER_ITEM_F47 Y N (BILL_PROFILE_ID)
S_ORG_EXT S_ORG_EXT_F22 Y N (PR_BILL_PRFL_ID)
S_POSTN S_POSTN_F5 Y N (PGROUP_ID)
S_QUO_ITM_LOYX S_QUO_ITM_LOYX_F2 Y N (VOUCHER_ID)
S_QUOTE_ITEM S_QUOTE_ITEM_F41 Y N (BILL_PROFILE_ID)
Table 133. Table Indexes That Are New in This Version
Table Index A U Columns
Schema Changes ■ Table Index Changes in This Version
Siebel Data Model Reference for Industry Applications Version 8.1 317
Changed Table Index in This VersionTable 134 lists a table index that was changed in this version.
S_SAMPLE_TXN S_SAMPLE_TXN_F7 Y N (OLD_TXN_ID)
S_SAMPLE_TXN S_SAMPLE_TXN_F8 Y N (SRC_TXN_ID)
S_SAMPLE_TXN S_SAMPLE_TXN_F9 Y N (APPROVER_ID)
S_SAMPLE_TXN S_SAMPLE_TXN_F10 Y N (ROOT_TXN_ID)
S_SMPL_TXN_ITEM S_SMPL_TXN_ITEM_F6 Y N (PROD_ALLOC_ID)
S_SMPL_TXN_ITEM S_SMPL_TXN_ITEM_F7 Y N (STK_PERD_EMP_ID)
S_SRC S_SRC_F40 Y N (PST_LNCH_TSK_WF_ID)
S_SRC S_SRC_F41 Y N (PRE_LOAD_TSK_WF_ID)
S_SRC S_SRC_F42 Y N (FUNNEL_STAGE_ID)
S_SRC S_SRC_F43 Y N (PST_LOAD_TSK_WF_ID)
S_SRC_PAYMENT S_SRC_PAYMENT_F66 Y N (APPRV_POSTN_ID)
S_STK_PERD_EMP S_STK_PERD_EMP_F1 Y N (APPROVER_ID)
S_STK_PERD_EMP S_STK_PERD_EMP_F2 Y N (AUDIT_EMP_ID)
S_STOCK_EMP S_STOCK_EMP_F4 Y N (INV_AUDIT_RPT_ID)
S_STOCK_EMP S_STOCK_EMP_U1 Y Y (EMP_ID,PRDINT_ID, STK_PERD_EMP_ID,LOT_ID, INV_AUDIT_RPT_ID,CONFLICT_ID)
S_XMLP_REP_TMPL S_XMLP_REP_TMPL_F1 Y N (XMLP_REP_INTOBJ_ID)
Table 134. Table Index That Changed Definition in This Version
Table Name Index Previous Columns New Columns
S_LOY_PROD_PT S_LOY_PROD_PT_U1 (PROGRAM_ID,TXN_TYPE_CD, PROD_ID,ATTRIB_1,ATTRIB_2, ATTRIB_3,ATTRIB_4,ATTRIB_5, ATTRIB_6,CONFLICT_ID)
(PROD_PT_UID, CONFLICT_ID)
Table 133. Table Indexes That Are New in This Version
Table Index A U Columns
Siebel Data Model Reference for Industry Applications Version 8.1
Schema Changes ■ Table Index Changes in This Version
318
Table Index That Was Deleted from This VersionTable 135 lists a table index that was deleted from this version.
Table 135. Table Index
Table Name Index A U Column
S_SD_SYNC_INFO S_SD_SYNC_INFO_M4 Y N (SEQ_ID)
Siebel Data Model Reference for Industry Applications Version 8.1 319
Index
Aaccount ERD
about 23diagram 25support for Dynamic Hierarchy 23support for Global Account Views 23tables 23
account targeting ERDabout 26diagram 27tables 26
activity ERDabout 28diagram 29tables 28
adjustment group ERDabout 30diagram 31tables 30
affiliations and best times ERDabout 32diagram 33tables 32
agencies/agent ERDabout 34diagram 35tables 34
agreementSee CME agreement ERD
alertsSee CME alert ERD
apparelSee textile, apparel, and footwear ERD
asset management ERDabout 36diagram 37tables 36tracking asset instances 36
assetsSee CME energy products, service, and usage
ERDauction ERD
about 38diagram 39tables 38
auto email response generator ERDabout 40
diagram 41tables 40
Automotiveautomotive retail ERD 42dealer sales and service promotion 87vehicle collection ERD 254vehicle ERD 252vehicle financing ERD 256vehicle sales ERD 258
automotive retail ERDabout 42diagram 43tables 42
Bbanking
See commercial banking ERDbenefit case management ERD
about 44diagram 46tables 44
best call hoursSee routes and best call hours ERD
brick ERDabout 47diagram 48tables 47
Ccampaign management
See marketing campaign ERDCG promotion planning ERD
about 49diagram 51tables 49
chatSee community/chat discussion ERD
clinical study management ERDabout 52diagram 54tables 52
CME account ERDabout 55diagram 56tables 55
CME agreement ERD
Siebel Data Model Reference for Industry Applications Version 8.1
Index ■ D
320
about 57diagram 58tables 57
CME alert ERDabout 59diagram 60tables 59
CME energy products, service, and usage ERD
about 61diagram 62tables 61
CME order management ERDabout 63diagram 64tables 63
columnsdomain type definitions 271INTEGRATION_ID columns, about 273naming conventions 267numeric physical type 272type definitions 271
commercial banking ERDabout 65diagram 67tables 65
commercial insurance ERDabout 68diagram 69tables 68
Communications, Media, EnergyCME account ERD 55CME agreement ERDCME alert ERD 59CME energy products, service, and usage
ERD 61CME order management ERD 63pricing comparison ERD 185
community/chat discussion ERDabout 70diagram 71tables 70
compensation planning administration ERDabout 72diagram 73tables 72
compensation planning execution ERDabout 74diagram 75tables 74
competency management system ERDabout 76diagram 77tables 76
Consumer Sectoraccount targeting ERD 26best hours entity 210CG promotion planning ERD 49objectives ERD 160sales volume planning ERD 214territory management - CS ERD 236
content management ERDabout 78diagram 79tables 78
content objectSee content management ERD
content processSee content management ERD
contract conditions ERDabout 80diagram 81tables 80
contracts ERDabout 82diagram 83tables 82
credit alertsSee CME alert ERD
Customer Data Item, about 84
Ddata (intersection) table type
about 269obsolete, table marked as 269
data (private) table type, about 269data (public) table type
about 269obsolete, table marked as 269
data typeslimit checking 274
data visibility ERDabout 84diagram 86tables 84
database schema version number, finding and format 274
dealer sales and service promotion ERDabout 87diagram 88tables 87
defect trackingSee product quality tracking ERD
designSee schema
discussionSee community/chat discussion ERD
Index ■ E
Siebel Data Model Reference for Industry Applications Version 8.1 321
document ID and tax ID ERDabout 89diagram 90tables 89
domain type definitions 271Dun & Bradstreet integration ERD
about 91diagram 92tables 91
Dynamic Hierarchy, support by account entity 23
Eemployee KPI ERD
about 93diagram 94tables 93
Employee Relationship Managementcompensation planning administration
ERD 72compensation planning execution ERD 74competency management system ERD 76employee KPI ERD 93performance review ERD 176
employeesfield service scheduler ERD 101time sheet ERD 242
entitlement items, service agreement ERD 218
ERDsaccount targeting, diagram 27account targeting, tables 26account, diagram 25account, tables 23activity, diagram 29activity, tables 28adjustment group, diagram 31adjustment group, tables 30affiliations and best times, diagram 33affiliations and best times, tables 32agencies/agent, diagram 35agencies/agent, tables 34asset management, diagram 37asset management, tables 36auction, diagram 39auction, tables 38auto email response generator,
diagram 41auto email response generator, tables 40automotive retail, diagram 43automotive retail, tables 42benefit case management, diagram 46benefit case management, tables 44
brick, diagram 48brick, tables 47CG promotion planning, diagram 51CG promotion planning, tables 49clinical study management, diagram 54clinical study management, tables 52CME account, diagram 56CME account, tables 55CME agreement, diagram 58CME agreement, tables 57CME alert, diagram 60CME alert, tables 59CME energy products, service, and usage,
diagram 62CME energy products, service, and usage,
tables 61CME order management ERD, diagram 64CME order management ERD, tables 63commercial banking, diagram 67commercial banking, tables 65commercial insurance, diagram 69commercial insurance, tables 68community/chat discussion, diagram 71community/chat discussion, tables 70compensation planning administration,
diagram 73compensation planning administration,
tables 72compensation planning execution,
diagram 75compensation planning execution,
tables 74competency management system,
diagram 77competency management system,
tables 76content management, diagram 79content management, tables 78contract conditions, diagram 81contract conditions, tables 80contracts, diagram 83contracts, tables 82conventions, description of 13data visibility, diagram 86data visibility, tables 84dealer sales and service promotion,
diagram 88dealer sales and service promotion,
tables 87document ID and tax ID, diagram 90document ID and tax ID, tables 89Dun & Bradstreet integration, diagram 92Dun & Bradstreet integration, tables 91employee KPI, diagram 94
Siebel Data Model Reference for Industry Applications Version 8.1
Index ■ E
322
employee KPI, tables 93event tax administration, diagram 96event tax administration, tables 95exclusive arc relationship, diagram
conventions 14expense reports, diagram 98expense reports, tables 97field service inventory, diagram 100,
102field service inventory, tables 99field service scheduler, tables 101financial account application, diagram 106financial account application, tables 105financial account, diagram 104financial account, tables 103financial investments, diagram 108financial investments, tables 107financial products, diagram 110financial products, tables 109financial services events, diagram 113financial services events, tables 111forecasts, diagram 115forecasts, tables 114general diagram conventions 14group insurance policies, diagram 117group insurance policies, tables 116group pensions, diagram 119group pensions, tables 118health provider/provider group,
diagram 121health provider/provider group, tables 120high tech marketing development fund,
diagram 123high tech marketing development fund,
tables 122high tech special pricing authorization,
diagram 125high tech special pricing authorization,
tables 124hospitality category, diagram 127hospitality category, tables 126institutional sales, diagram 129institutional sales, tables 128insurance claims, diagram 132insurance claims, tables 130insurance policies, diagram 134insurance policies, tables 133invoicable charges, diagram 136invoicable charges, tables 135invoices, diagram 138invoices, tables 137life insurance policy, diagram 140life insurance policy, tables 139loyalty, diagram 144
loyalty, tables 142managed care, diagram 146managed care, tables 145marketing campaign, diagram 148marketing campaign, tables 147marketing collaboration, diagram 150marketing collaboration, tables 149marketing encyclopedia, diagram 152marketing encyclopedia, tables 151marketing events, diagram 155marketing events, tables 153marketing plans, diagram 157marketing plans, tables 156medical education event management,
diagram 159medical education event management,
tables 158objectives, diagram 161objectives, tables 160opportunity management, diagram 163opportunity management, tables 162order life cycle, diagram 165order life cycle, tables 164orders, diagram 167orders, tables 166partner collaboration, diagram 169partner collaboration, tables 168partner program registration, diagram 171partner program registration, tables 170party model, diagram 173party model, tables 172payments, diagram 175payments, tables 174performance review, diagram 178performance review, tables 176personal account, diagram 180personal account, tables 179personal financial review, diagram 182personal financial review, tables 181personalized content delivery, tables 183pricing comparison, diagram 184, 186pricing comparison, tables 185pricing, diagram 188pricing, tables 187product promotion, diagram 190product promotion, tables 189product quality tracking, diagram 192product quality tracking, tables 191product recommendation, diagram 194product recommendation, tables 193products or services, diagram 196products or services, tables 195professional services, diagram 198professional services, tables 197
Index ■ F
Siebel Data Model Reference for Industry Applications Version 8.1 323
public sector case lead management, diagram 201
public sector case lead management, tables 199
public sector contact identity, diagram 203public sector contact identity, tables 202public sector evidence management,
diagram 205public sector evidence management,
tables 204public sector incident management,
diagram 207public sector incident management,
tables 206recursive relationship, diagram
conventions 15revenue, diagram 209revenue, tables 208revision table 16routes and best call hours, diagram 211routes and best call hours, tables 210sales hierarchy and credit assignment,
diagram 213sales hierarchy and credit assignment,
tables 212sales volume planning, diagram 215sales volume planning, tables 214sample management, diagram 217sample management, tables 216service agreement, diagram 219service agreement, tables 218service calendars and work shifts,
diagram 221service calendars and work shifts,
tables 220service request, diagram 223service request, tables 222shipment, diagram 225shipment, tables 224Siebel Assistant, diagram 227Siebel Assistant, tables 226syndicated data, diagram 229syndicated data, tables 228teller administration, diagram 231teller administration, tables 230territory alignment - quota assignment
diagram 233territory alignment - quota assignment,
tables 232territory management - CS, diagram 237territory management - CS, tables 236territory management - LS, diagram 239territory management - LS, tables 238territory management, diagram 235
territory management, tables 234textile, apparel, and footwear,
diagram 241textile, apparel, and footwear, tables 240time sheet, diagram 243time sheet, tables 242trade promotions, diagram 245trade promotions, tables 244training curriculum course, diagram 247training curriculum course, tables 246training test engine, diagram 249training test engine, tables 248universal customer master, diagram 251universal customer master, tables 250vehicle collection, diagram 255vehicle collection, tables 254vehicle financing, diagram 257vehicle financing, tables 256vehicle sales, diagram 259vehicle sales, tables 258vehicle, diagram 253vehicle, tables 252versioned object definition, diagram 261versioned object definition, tables 260warranty, diagram 263warranty, tables 262
event tax administration ERDabout 95diagram 96tables 95
exclusive arc relationshipabout 14diagram conventions 14
expense reports ERDabout 97diagram 98tables 97
extension (Siebel) table typeabout 269obsolete table marked as 269
extension table type, about 269
Ffield service inventory ERD
about 99diagram 100, 102tables 99
field service scheduler ERDabout 101tables 101
financial account application ERDabout 105diagram 106
Siebel Data Model Reference for Industry Applications Version 8.1
Index ■ G
324
tables 105financial account ERD
about 102diagram 104tables 103
financial accountsfinancial account application ERD 105financial account ERD 102personal account ERD 179
financial investments ERDabout 107diagram 108tables 107
financial products ERDabout 109diagram 110tables 109
financial review, personal financial review ERD 181
Financial Servicesagencies/agent ERD 34commercial banking ERD 65commercial insurance ERD 68financial account application ERD 105financial account ERD 102financial investments ERD 107financial products ERD 109financial services events ERD 111group insurance policies ERD 116group pensions ERD 118health provider/provider group ERD 120institutional sales ERD 128insurance claims ERD 130insurance policies ERD 133life insurance policy ERD 139teller administration ERD 230
financial services events ERDabout 111diagram 113tables 111
footwearSee textile, apparel, and footwear ERD
forecasts ERDabout 114diagram 115tables 114
fraud alertsSee CME alert ERD
Ggenerating table report 275Global Account Views, support by account
entity 23
group insurance policies ERDabout 116diagram 117tables 116
group pensions ERDabout 118diagram 119tables 118
Hhealth provider/provider group ERD
about 120diagram 121tables 120
high tech marketing development fund ERDabout 122diagram 123tables 122
high tech special pricing authorization ERDabout 124diagram 125tables 124
Hospitalityevent tax administration ERD 95
hospitality category ERDabout 126diagram 127tables 126
IInclude Only field 273index column fields 273index naming conventions 267institutional sales ERD
about 128diagram 129tables 128
insurancecommercial insurance ERD 68group insurance policies ERD 116insurance claims ERD 130insurance policies ERD 133life insurance policy ERD 139personal account ERD 179
insurance claims ERDabout 130diagram 132tables 130
insurance policies ERDabout 133diagram 134tables 133
INTEGRATION_ID columns, about 273
Index ■ L
Siebel Data Model Reference for Industry Applications Version 8.1 325
invoicable charges ERDabout 135diagram 136tables 135
invoices ERDabout 137diagram 138tables 137
Llife insurance policy ERD
about 139diagram 140tables 139
Life Sciencesactivity ERD 28affiliations and best times ERD 32brick ERD 47clinical study management ERD 52community/chat discussion ERD 70managed care ERD 145medical education event management
ERD 158personalized content delivery ERD 183sample management ERD 216syndicated data ERD 228territory management - LS ERD 238
limit checking for data types 274loans, commercial banking entity 65logical model
ERD conventions 13ERD descriptions 16
loyalty ERDabout 141diagram 144tables 142
Mmanaged care ERD
about 145diagram 146tables 145
MarketingCG promotion planning ERD 49Dun & Bradstreet integration ERD 91forecasts ERD 114high tech marketing development fund
ERD 122marketing campaign ERD 147marketing collaboration ERD 149marketing encyclopedia ERD 151marketing events ERD 153marketing plans ERD 156
marketing campaign ERDabout 147diagram 148tables 147
marketing collaboration ERDabout 149diagram 150tables 149
marketing development fundsSee CG promotion planning ERD
marketing encyclopedia ERDabout 151diagram 152tables 151
marketing events ERDabout 153diagram 155tables 153
marketing plans ERDabout 156diagram 157tables 156
Master Data Item, about 84MDFs
See CG promotion planning ERDMedEd event management
See medical education event management ERD
medical education event management ERDabout 158diagram 159tables 158
mini brickSee brick ERD
Nnaming conventions
columns 267indexes 267physical model listings, abbreviations
used 268table names 265table prefixes 266table suffixes 266
non-Siebel application products, caution about inserting or updating data 11
normalized, defined 11
Oobjectives ERD
about 160diagram 161
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tables 160opportunity management ERD
about 162diagram 163tables 162
Oracle Applications, about use of INTEGRATION_ID columns 273
order life cycle ERDabout 164diagram 165tables 164
orders ERDabout 166diagram 167tables 166
Ppartner collaboration ERD
about 168diagram 169tables 168
partner program registration ERDabout 170diagram 171tables 170
party model ERDabout 172diagram 173tables 172
party model, about 275party, defined 172payments ERD
about 174diagram 175tables 174
performance review ERDabout 176diagram 178tables 176
personal account ERDabout 179diagram 180tables 179
personal financial review ERDabout 181diagram 182tables 181
personalized content delivery ERDabout 183tables 183
physical modelcolumn naming conventions 267column type definitions 271
columns of numeric physical type 272database schema version number, finding and
format 274domain type definitions 271Include Only field 273index naming conventions 267INTEGRATION_ID columns, about 273limit checking for data types 274party model, about 275physical model listings, abbreviations
used 268Siebel repository tables, about 273Siebel system fields 272table naming conventions 265table report, about 275table status definitions 270table type definitions 269validating Siebel Schema 274
physicians, health provider/provider group ERD 120
prescription information, syndicated data ERD 228
pricing comparison ERDabout 185diagram 184, 186tables 185
pricing ERDabout 187diagram 188tables 187
product promotion ERDabout 189diagram 190tables 189
product quality tracking ERDabout 191diagram 192tables 191
product recommendation ERDabout 193diagram 194tables 193
products or services ERDabout 195diagram 196tables 195
professional services ERDabout 197diagram 198tables 197
projects, professional services ERD 197protocols
See clinical study management ERDpublic sector benefit case management ERD
Index ■ R
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about 44diagram 46tables 44
public sector case lead management ERDabout 199diagram 201tables 199
public sector contact identity ERDabout 202diagram 203tables 202
public sector evidence management ERDabout 204diagram 205tables 204
public sector incident management ERDabout 206diagram 207tables 206
Rrecursive relationship
about 15diagram conventions 15
repository, about Siebel repository 273revenue ERD
about 208diagram 209tables 208
routes and best call hours ERDabout 210diagram 211tables 210
SSales
Dun & Bradstreet integration ERD 91forecasts ERD 114high tech special pricing authorization
ERD 124marketing encyclopedia ERD 151opportunity management ERD 162routes and best call hours ERD 210sales hierarchy and credit assignment ERDterritory alignment - quota assignment
ERD 232territory management - LS ERD 238territory management ERD 234
sales hierarchy and credit assignment ERDabout 212diagram 213tables 212
Sales Hierarchy Module
See sales hierarchy and credit assignment ERD
sales volume planning ERDabout 214diagram 215tables 214
sample management ERDabout 216diagram 217tables 216
schemachanges to 277database schema version number, finding and
format 274defined 11validating Siebel Schema 274
Servicefield service inventory ERD 99field service scheduler ERD 101invoicable charges ERD 135invoices ERD 137products or services ERD 195service agreement ERD 218service calendars and work shifts ERD 220service request ERD 222territory management - CS ERD 236warranty ERD 262
service activities, field service scheduler ERD 101
service agreement ERDabout 218diagram 219tables 218
service calendars and work shifts ERDabout 220diagram 221tables 220
service region, field service scheduler ERD 101
service request ERDabout 222diagram 223tables 222
service requestsSee CME account ERD
servicesSee CME energy products, service, and usage
ERDshipment ERD
about 224diagram 225tables 224
Siebel Assistant ERDabout 226
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diagram 227tables 226
Siebel repository, about 273Siebel SAP R/3 Connector, about use of
INTEGRATION_ID columns 273Siebel system fields 272special ERD conventions
exclusive arc relationship 14recursive relationship 15
syndicated data ERDabout 228diagram 229tables 228
system fields 272
Ttable columns
changed 311new 282
table indexeschanged 317deleted 318new 312
tableschanged 281generating report 275naming conventions 265new 277prefix naming conventions 266suffix naming conventions 266table status definitions 270types of 269
tax IDSee document ID and tax ID ERD
teller administration ERDabout 230diagram 231tables 230
territory alignment - quota assignment ERDabout 232diagram 233tables 232
territory management - CS ERDabout 236diagram 237tables 236
territory management - LS ERDabout 238diagram 239tables 238
territory management ERDabout 234diagram 235
tables 234tests, training test engine ERD 248textile, apparel, and footwear ERD
about 240diagram 241tables 240
time sheet ERDabout 242diagram 243tables 242
trade promotions ERDabout 244diagram 245tables 244
training curriculum course ERDabout 246diagram 247tables 246
training test engine ERDabout 248diagram 249tables 248
trouble ticketsSee CME account ERD
Uuniversal customer master ERD
about 250diagram 251tables 250
Vvalidating Siebel Schema 274vehicle collection ERD
about 254diagram 255tables 254
vehicle ERDabout 252diagram 253tables 252
vehicle financing ERDabout 256diagram 257tables 256
vehicle sales ERDabout 258diagram 259tables 258
versioned object definition ERDabout 260diagram 261tables 260
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Wwarranty ERD
about 262diagram 263tables 262
work shiftsSee service calendars and work shifts ERD
workflow processSee content management ERD
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