Oracle Enterprise Data Quality Product Roadmap and Statement of Direction. October 2016

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Derek Patrick
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2 Oracle Enterprise Data Quality Product Roadmap and Statement of Direction October 2016 Oracle Confidential Internal/Restricted/Highly Restricted 2

3 Safe Harbor Statement 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. Oracle Confidential Internal/Restricted/Highly Restricted 3

4 EDQ Market-Leading Scalability, Operability, and Matching Flexibility Oracle Confidential Internal/Restricted/Highly Restricted 4

5 What you would expect of EDQ Fast and highly scalable - proven with very large record volumes Single configuration UI - from the very beginning of the product Easily integrated in batch or real-time Works with virtually any type of data in any format or language UIs and Documentation available in 9 languages Available On Premise or in the Oracle Public Cloud

Procurement Cloud Data as a Service for Sales Address Verification

6 What you may not know EDQ is the DQ engine powering a range of Oracle Cloud Services: Sales Cloud Customer Data Management Procurement Cloud Data as a Service for Sales Address Verification EDQ includes a highly flexible and fully integrated Case Management application

Now Available: EDQ 12.2.1.2, EDQ AV 16.3.

7 Now Available: EDQ , EDQ AV Additional Customer Data Services and Processors New Country, Name and Services Additional Customer Data Processors Configuration API for Integrated Profiling REST Web Services provided to allow programmatic generation and running of profiling jobs Link to results of profiling job in EDQ Improved User Productivity Multi-attribute capability in many more processors Additional processors for working with array attributes from hierarchical sources Support for arrays in Match processors Case Management Flexibility Access to more Extended Attributes Address Verification Focus on quality in verification and search

Additional Customer Data Services Name Services Validation, parsing, standardization and transliteration of individual and entity names Country Service Validation, standardization, and code

8 Additional Customer Data Services Name Services Validation, parsing, standardization and transliteration of individual and entity names Country Service Validation, standardization, and code derivation for countries and nationalities Service Validation and standardization of address formats All services are powered by reusable packaged processors that can be used in your own projects >>

9 REST Configuration Web Services REST configuration web services are available, offering some ability to configure EDQ programmatically, and get info on EDQ configuration objects Supports the generation and running of profiling jobs externally A URL can be constructed that links to the results in EDQ once generated Suitable for other integrations (including Oracle Cloud Services), for example: Read or create reference data externally Dynamic read of web service interfaces Read which jobs are available Run, monitor and cancel jobs remotely

Improved Productivity with Hierarchical Data ~20 processors have been enhanced to add support for multiple attributes, and array attributes 17 new processors to work with array attributes Match

10 Improved Productivity with Hierarchical Data ~20 processors have been enhanced to add support for multiple attributes, and array attributes 17 new processors to work with array attributes Match processors now support arrays, matching on all elements, making it no longer necessary to explode records to work with multiple values such as addresses and phone numbers The new capabilities improve performance and productivity when working with hierarchical data sources, where arrays can be used to store multiple values

12 EDQ on Oracle Public Cloud EDQ to be available on Oracle Public Cloud with subscription pricing and simplified provisioning EDQ will run on the Java Cloud Service (PaaS) and will be compatible with all PaaS options: Scale Up/Down/Out/In Automated Backup and Restore JCS Patching Provisioned as part of Data Integration Suite (TBC)

13 EDQ The following features are currently targeted for EDQ Product Data Services: New services and processors for working with Product Data Extraction, Classification, Matching, Reference Data Import Reference Data from EDQ-P Enterprise Manager integration Monitoring of EDQ Jobs and Web Services from EM Publication of DQ results into new Data Governance application Targeted for release in CY 2017

14 Enterprise Data Governance First version (CY 2017/2018) will be focused on Data Quality Governance Advanced Dashboarding of DQ Results (with Drilldowns, Charting) Business Rule Management Trend Analysis and Alerts Issue Management Built-in analysis of data issues Application will be integrated with EDQ and other Oracle Cloud Services Open interface (REST API) to enable easy integration with other DQ / DI / BI software Vision is to provide a Control Center for enterprise data that enables you to treat it as a capital asset

15 Changing forces in Data Quality, Integration & Management Move to the Cloud, creating a Hybrid Landscape for data Imperative to Govern data (flows and content), treating it as a Capital Asset Even greater user expectations in Time-to-results and Self Service No let-off in the needs for Accuracy and Compliance Growing need for Reusable Data Services, in applications & cloud services, in integration pipelines, and in Hadoop

Next Generation Data Integration, Management and Governance in the Hybrid Landscape On-Premise and Cloud Data Assets Internet Structured and Unstructured Logs A portfolio of Integrated Cloud Services

Asset Management Reusability of Data Services Data Governance Machine Learning & Automation Workflow & Stewardship Recommendations, Metadata, Asset Inventory With the benefits of Cloud Computing:

16 Next Generation Data Integration, Management and Governance in the Hybrid Landscape On-Premise and Cloud Data Assets Internet Structured and Unstructured Logs A portfolio of Integrated Cloud Services for: Fast Data Integration Self-Service Data Preparation Data Governance Cloud Data Integration and Governance Profiling Asset Explorer Service Design Using a common framework for: Data Storage & Asset Management Reusability of Data Services Data Governance Machine Learning & Automation Workflow & Stewardship Recommendations, Metadata, Asset Inventory With the benefits of Cloud Computing: Elastic Scalability High Availability Automated Backups Ready-integrated with Oracle Cloud Services: BI Cloud Service Big Data Cloud Service Big Data Discovery Oracle Applications Available in the Oracle Public Cloud, or in your Data Centre of choice

Oracle Java Cloud Service Subscription Pricing to be announced in near future Major Areas of Investment Adoption in, and

17 Statement of Direction EDQ is Oracle s Strategic Data Quality Platform Powering Oracle Cloud Services, Applications, Data Integration and Data Governance Available either On Premise or on the Oracle Public Cloud Deploy either On Premise or on the Oracle Java Cloud Service Subscription Pricing to be announced in near future Major Areas of Investment Adoption in, and integration with Oracle Cloud Services EDQ for Data Governance Cloud DQ Services EDQ for Big Data EDQ for Compliance Applications 17

18 Oracle Confidential Internal/Restricted/Highly Restricted 18

Oracle Watchlist Screening Product Roadmap and Statement of Direction

Oracle Watchlist Screening Product Roadmap and Statement of Direction Oracle Product Management November, 2015 Safe Harbor Statement The following is intended to outline our general product direction.