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Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 2
Oracle Enterprise Data Quality Statement of Direction
Martin Boyd – Senior Director, Product Strategy
Mike Matthews – Director, Product Management
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The following is intended to outline our general product direction.
It is intended for information purposes only, and may not be
incorporated into any contract. It is not a commitment to deliver
any material, code, or functionality, and should not be relied upon
in making purchasing decisions. The development, release, and
timing of any features or functionality described for Oracle’s
products remains at the sole discretion of Oracle.
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EDQ Investment Areas
Integrated DQ &
Governance
Integrated best-in-class Customer and
Product DQ
Expand Governance to include
operational confidence reporting
Integration Across Oracle
Deeper Siebel Integration
Out-of-the-box DQ in Oracle Sales
Cloud
Integration with ODI
Endeca, ATG, EBS…
Cloud/SaaS
SaaS deployment for Oracle Sales
Cloud
Clustering and elastic provisioning
support
Cloud DQ Services
Global Rules & UI
Global Identity Resolution
DQ Rules and Reference Data for
major locales
Additional UI Localizations
Advanced Techniques
Statistical parsing & classification
Statistical outlier detection
Entity identification & extraction for Big
Data
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EDQ in the Cloud
Cloud Data Services powered by EDQ
• Providing data enhancement services in the Oracle Cloud
• Uses EDQ as the matching engine and to ensure reference
data quality
EDQ in Fusion Apps
• EDQ to be deployed and used by Fusion Apps
• Leveraging Oracle DB and FMW cloud support
EDQ in Managed Cloud
• Growing number of customers already choosing to run full service EDQ in the Oracle Managed Cloud
EDQ powering Partner Cloud Offerings
• Kaygen partnering with Oracle to deliver Data Governance in managed cloud with EDQ
• Several others following suit
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EDQ for Fusion Applications
Fusion Applications
Integration
– EDQ deployed in Fusion
Apps as the attached DQ
engine
– Advanced Search, Duplicate
Prevention, Master Data
Matching
– Address Verification and
Cleaning for all countries Profile
Standardize
Match
Govern
Quickly understand data content
Drive conformance to standards
Identify & merge duplicates
Monitor effectiveness & resolve problems
Co
mm
on
Acce
ss/U
I
Enterprise DQ Platform
Enterprise DQ Cloud Services Enterprise DQ
Matching Cloud
Service
Enterprise DQ
Address Verification
Cloud Service
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EDQ 12c
Data Quality Governance II
Improved Product Data Extensions Integration
Full WebLogic Server Clustering support
– Shared config for multiple EDQ servers
– Session balancing and failover
– Active-Active Case Management
Oracle Access Manager integration
Hadoop Connectivity
Fully automatable Reference Data Generation
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Data Governance with EDQ
Single DQ environment
DQ Engine
Data sources
Real-time checks
Apps and hubs
Enabling People and Process with Technology
• DQ Insight (Dashboard)
• Reporting
• Trend Analysis
• Case Management
• Workflow
• Remediation
Current capabilities to
be enhanced and
combined into a new
cloud-enabled DQ
Governance UI
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EDQ Application Integration
• Fusion Applications – Deep integration in progress; planned for Fusion R9 release
• Siebel CRM and UCM– Deep integration in place using services architecture; more stable,
performant, functional and scalable than 3rd Party or OEM integrations
• EBS – Template connectors available for common integrations (customer/party, etc.)
• Salesforce.com – Template connectors available for batch cleansing
• Oracle Product Hub; Fusion Product Hub – Deep integration for batch and real-time load
• ENDECA (Oracle Commerce) – Data cleansing and metadata sync to streamline managing complex
product data schemas for eCommerce
• Agile PLM – Template connectors for batch and real-time validation, BOM validation and BOM sync
Enabling Applications with Data Quality Services
• Application owners are painfully aware of the impact & costs of poor data
• EDQ is investing heavily in providing out-the-box Application DQ solutions
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