edq overview & sales use cases - oracle data governance ... •as part of migration/system load...
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Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
EDQ Overview & Sales Use Cases
August 2014
Martin Boyd – Senior Director Product Strategy, Enterprise Data Quality
Oracle Confidential – Internal/Restricted/Highly Restricted
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
Program Agenda
Oracle Confidential – Internal/Restricted/Highly Restricted 2
• Business Overview
• Positioning Overview
• Pricing, SKUs, etc.
• Sales Use Cases
• Sales Pointers & Resources
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
Program Agenda
Oracle Confidential – Internal/Restricted/Highly Restricted 3
• Business Overview
• Positioning Overview
• Pricing, SKUs, etc.
• Sales Use Cases
• Sales Pointers & Resources
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
Investment Themes: Exploit Expanding DQ Market
Oracle Confidential – Internal/Restricted/Highly Restricted 4
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
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
Program Agenda
Oracle Confidential – Internal/Restricted/Highly Restricted 5
• Business Overview
• Positioning Overview
• Pricing, SKUs, etc.
• Sales Use Cases
• Sales Pointers & Resources
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
• How do you know?
• What is the business impact?
• What should you do about it?
Data Quality – Is Your Data “Fit for Purpose”?
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
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
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
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
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
Program Agenda
Oracle Confidential – Internal/Restricted/Highly Restricted 17
• Business Overview
• Positioning Overview
• Pricing, SKUs, etc.
• Sales Use Cases
• Sales Pointers & Resources
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
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
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
Program Agenda
Oracle Confidential – Internal/Restricted/Highly Restricted 19
• Business Overview
• Positioning Overview
• Pricing, SKUs, etc.
• Sales Use Cases
• Sales Pointers & Resources
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
• How do you know?
• What is the business impact?
• What should you do about it?
Is Your Data “Fit for Purpose”?
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
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.)
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
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.)
Poor data quality is the most common source of project delay and failure – but it is easily avoided
with systematic data preparation
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
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
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
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
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
Data Prep for System Migration/Implementation
Oracle Confidential – Internal/Restricted/Highly Restricted 25
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
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
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.)
Even after initial data preparation, ongoing data governance is required
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
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.)
Business Intelligence is perhaps the most obvious example of garbage-in, garbage-out
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
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
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
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
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
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.)
Sometimes best practices are mandated by law and have large penalties for non-compliance (FATCA,
OFAC, etc.)
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
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.) Even where hub implementation is a core objective,
DQ often comes first • To prepare the way • Lower implementation risk • Deliver tactical ROI
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
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
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
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.) Enforcing common DQ standards across the enterprise is a simple, tactical fix to systemic
problems and a good foundation for enterprise governance
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
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
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
Zebra’s - Oracle Eco System
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
Governance Vision in Action Library of
enterprise
standard DQ
services
Data Steward “Cockpit”
• DQ and Process Visibility • Rules Management • Case Management
Case
Management
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
Program Agenda
Oracle Confidential – Internal/Restricted/Highly Restricted 37
• Business Overview
• Positioning Overview
• Pricing, SKUs, etc.
• Sales Use Cases
• Sales Pointers & Resources
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
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)
Oracle Confidential – Internal/Restricted/Highly Restricted 38
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
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 – martin.boyd@oracle.com
– Sales, value prop, pricing
– Mike Matthews - mike.matthews@oracle.com
– Inbound PM
– Steve Tuck - steve.tuck@oracle.com
– ‘A team’ for SC and sales
– Peter Webster – peter.j.webster@oracle.com
– All things ‘training’
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
• How do you know?
• What is the business impact?
• What should you do about it?
Is Your Data “Fit for Purpose”?
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