edq overview & sales use cases - oracle data governance ... •as part of migration/system load...

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EDQ Overview & Sales Use Cases

August 2014

Martin Boyd – Senior Director Product Strategy, Enterprise Data Quality

Oracle Confidential – Internal/Restricted/Highly Restricted


Program Agenda

Oracle Confidential – Internal/Restricted/Highly Restricted 2

• Business Overview

• Positioning Overview

• Pricing, SKUs, etc.

• Sales Use Cases

• Sales Pointers & Resources


Program Agenda





• Sales Use Cases



Investment Themes: Exploit Expanding DQ Market


Cloud Services

1. Matching service

2. Address Verification service

3. Enrichment service

Apps/Solutions Data Governance

Faster, more flexible

deployment, with more pre-

built integrations

Use DQ as part of foundation

for broad “Data Governance”

process, tooling and

organizational alignment

Cloud

Data Governance

Foundation

Integrated and

Accelerated DQ

Great way to start a conversation and become a

trusted partner

Discrete services, NOT the whole platform; partners can

host the whole platform

Continued investment in the platform and supporting

broad use cases


Program Agenda





• Sales Use Cases



• How do you know?

• What is the business impact?

• What should you do about it?

Data Quality – Is Your Data “Fit for Purpose”?


Data Quality Foundation for Governance

CHAOS!

DQ Tools

DQ Process/ System

DQ + MDM – Single Domain

DQ + MDM – Multiple Domains

No tools, no process – the Wild West!

Project based – benefits are short lived

DQ ‘Masters’ data in legacy applications with

repeatable process

Hubs persist and sync data – leveraged impact

Greater coverage, greater impact


Enterprise Data Quality

Broadest DQ offering • Best of breed capabilities for both Party Data and Product Data

• Profiling, standardization, matching, case management,

governance

Most usable DQ offering • Completely integrated offering – designed to work together

• Designed for business and technical users

• Transparent operation and results – no black boxes

Pervasive operation for enterprise quality governance • Within legacy systems and MDM Hubs

• As part of migration/system load

• On data entry/capture

• As part of data movement/transfer

Profile

Standardize

Match

Govern

Quickly understand data content

Drive conformance to standards

Identify & merge duplicates

Monitor effectiveness & resolve problems

Com

mon A

ccess/U

I

Enterprise DQ Platform


Program Agenda





• Sales Use Cases



Pre-Requisites & RULs

EDQ Profiling for Data Integration

$100K

EDQ Batch Processing

for Data Integration

$100K

EDQ Real-time

Processing for Data

Integration (CA)

$100K

EDQ Audit & Dashboard for Data Integration $50K

ED

Q A

dd

ress V

erification fo

r

Data

In

tegra

tio

n $

63

.3K

• Arrows show intra-module pre-reqs

• Everything builds from Profiling

Other details:

• EDQ includes a restricted use

license of Weblogic SE

• EDQ will generally NOT be installed

on the same server as ODI and

there is no requirement for their

processor sizing to be similar

• Servers can be segmented using

OVM (EDQ works under VMWare,

but Oracle does not respect it for

licensing purposes)

• Oracle charges for all processors

(live, QA, Development, etc.)

• EDQ runs on EXA*

Pre-req

Pre-req

Pre-req

Pre-req


Program Agenda





• Sales Use Cases






Is Your Data “Fit for Purpose”?


Common Data Quality Use Cases

System Consolidation/Migration

• Enforce new system standards

on legacy data

Compliance

• Drive consistent data and processes

to meet regulatory requirements

(watchlist screening, anti-money

laundering, tax compliance, etc.)

Enterprise DQ Services

• Common DQ services to clean-up

and govern application data across

multiple applications

Business Intelligence

Enablement

• Enforce BI standards on

disparate data

MDM Enablement

• Verify, standardize, match and

and merge data from disparate

sources

Application Enablement

• Clean-up and govern application

data for a single application (CRM,

HR, PLM, Retail search, etc.)





on legacy data

Compliance










Enablement


disparate data

MDM Enablement



sources





Poor data quality is the most common source of project delay and failure – but it is easily avoided

with systematic data preparation


Why Focus on System Migration/Consolidation?

• More than 80% of data migration projects run over time and/or over budget. Cost overruns average 30%. Time overruns average 41%. Bloor Group

• 80% of organizations… will underestimate the costs related to the data acquisition tasks by an average of 50 percent” Gartner

Because poor data biggest single risk to the project

23


EDQ for Data Discovery

• Interactive analysis of data

sources prepares the way for any data project

• Uncover

• Structure

• Completeness

• Consistency

• Conformance

• ”Overused fields”

• Identify required

• Mappings

• Transformations

• Entity extractions/Parsing


Data Prep for System Migration/Implementation


EDQ Processes Source/ Legacy Data

‘Fit for

Purpose’ Data

Dashboard

Reporting

Case

Management • Visibility

• DQ and Process

• Lineage

• Enforcement/Co-ordination

• Business Glossary

• Rules Management

• Case Management

Data Steward “Cockpit”

25

Governance and Case Management to ‘Perfect’ Data





on legacy data

Compliance










Enablement


disparate data

MDM Enablement



sources





Even after initial data preparation, ongoing data governance is required





on legacy data

Compliance










Enablement


disparate data

MDM Enablement



sources





Business Intelligence is perhaps the most obvious example of garbage-in, garbage-out


Impact of Data Quality on DW/BI

“Only 30% of BI/DW implementations fully

succeed. The top two reasons for failure? Budget

constraints and data quality.” Gartner

“More than 50 percent of data

warehouse projects will have

limited acceptance, or will be

outright failures, as a result of a

lack of attention to data quality

issues” Gartner

“It does not really matter how good your management

sponsorship or your business-driven motivation is. If you do not

have the data, or the data does not have sufficient quality, any

BI implementation will fail.” Kimball

“Through 2016, 25% of organizations using consumer

data will face reputation damage due to inadequate

understanding of information trust issues” Gartner

Poor data quality is the primary

reason for 40% of all business

initiatives failing to achieve their

targeted benefits” Gartner


EDQ for DW/BI 1. ODI or GoldenGate move data into DW

2. ODI maps data into Staging tables

3. EDQ ‘cleanses’ data

4. ODI moves from staging into production tables

Data in DW is ‘Fit for Purpose’ BI/Analytics

Source of truth

Production Tables

Data Sources

BI/analytics

Single source

of truth for

reference

Staging tables ODI

EDQ Parsing, Cleansing,

Standardization, Matching

Replica source tables

ODI

Golden Gate

ODI





on legacy data

Compliance










Enablement


disparate data

MDM Enablement



sources





Sometimes best practices are mandated by law and have large penalties for non-compliance (FATCA,

OFAC, etc.)





on legacy data

Compliance










Enablement


disparate data

MDM Enablement



sources




HR, PLM, Retail search, etc.) Even where hub implementation is a core objective,

DQ often comes first • To prepare the way • Lower implementation risk • Deliver tactical ROI


Su

pp

lie

r

Sit

e

Fin

an

cia

l

Enterprise-Grade MDM from Oracle Purpose-Built MDM Applications Approach

CRM

Other Sources

ERP C

usto

mer

CRM

EPM/BI

Legacy…

Pro

du

ct





on legacy data

Compliance










Enablement


disparate data

MDM Enablement



sources




HR, PLM, Retail search, etc.) Enforcing common DQ standards across the enterprise is a simple, tactical fix to systemic

problems and a good foundation for enterprise governance


EDQ Web Services Enforce common DQ standards across the enterprise

Common Services

Applications App 1 App 2 App 3

Library of

enterprise

standard DQ

services

• Any EDQ process may be called as a real-time web service

• Call any process from any application to

1. Enforce common standards

2. Minimize architectural changes


Zebra’s - Oracle Eco System


Governance Vision in Action Library of

enterprise

standard DQ

services

Data Steward “Cockpit”

• DQ and Process Visibility • Rules Management • Case Management

Case

Management


Program Agenda





• Sales Use Cases



Always try to add EDQ to a deal

• Every MDM deal should include EDQ

• Most MDM deals should start with EDQ

• ODQ (INFA OEM) customers should be offered migration to EDQ

• Ask “is your data fit for purpose?”

• Talk about Data Governance programs (using EDQ as the core enabler)



EDQ Resources

• Training

– Full set of online self-paced training; contact Martin with user names to get access

• Pre-built demo VM

• Community Forum – bulletin board for Q&A

– www.tinyurl.com/OracleEDQForum

• OTN – documentation, datasheets, downloads

– http://www.oracle.com/technetwork/middleware/oedq/overview/index.html

• Product Management

– Martin Boyd – [email protected]

– Sales, value prop, pricing

– Mike Matthews - [email protected]

– Inbound PM

– Steve Tuck - [email protected]

– ‘A team’ for SC and sales

– Peter Webster – [email protected]

– All things ‘training’

http://www.tinyurl.com/OracleEDQForum

http://www.oracle.com/technetwork/middleware/oedq/overview/index.html

http://www.oracle.com/technetwork/middleware/oedq/overview/index.html

mailto:[email protected]








Is Your Data “Fit for Purpose”?

edq overview & sales use cases - oracle data governance ... •as part of migration/system load...

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