1. Complete Information Integration A Shared Architecture for Operational and Analytic Integration Andy Flower Vice President Session # 101

2. Speaker Qualifications  Andrew Flower, Founder and Lead Consultant  14 years in Data Integration and Data Architecture  Contributing Author to Oracle 8i Data Warehousing  Instructor on Data Integration for TDWI  Member of the IOUG Board of Directors

3.  Enterprise Information Integration  Is this a solution looking for a problem?  It is time to move to the middle  Hey! I can do this with Oracle Database and Fusion Middleware  Review of Enterprise Information Integration Agenda

4. Enterprise Information Integration  What is it?  Thank you John Zachman  How does this fit into an Enterprise Architecture  It is all about managing the Nouns and Verbs of your organization

5. Zachman Framework

6. Enterprise Information Integration  Provides an on demand integration layer supporting Operations and Business Intelligence  Dependent on effective organizational management  Master Data Management  Data Governance  Standardized processes for cleansing data  Service Oriented Architecture inclusive of Business Process, Service, and Technical Integration

7. Enterprise Information Integration  Strengths  Provides one place for an enterprise to access master data  Supports changes to processes  Improves overall data quality through consistent reuse of rules  Source for conformed dimensions  Supports batch and low latency reads and writes  Weaknesses  New concept, infrastructure project hard for business to buy in  Confusion on what tool sets to use to support such an architecture  Heavy use of on-demand reads/writes could create bottleneck to operational applications

8. Enterprise Integration Architecture From Enterprise Integration by Beth Gold-Bernstein Technical Integration Architecture Service Integration Architecture Information Integration Architecture Business Process Integration Architecture

9. Questions?

10. Is this a solution looking for a problem?  Strengths  Provides one place for an enterprise to access master data  Supports changes to processes  Improves overall data quality through consistent reuse of rules  Source for conformed dimensions  Supports batch and low latency reads and writes  Weaknesses  New concept, infrastructure project hard for business to buy in  Confusion on what tool sets to use to support such an architecture  Heavy use of on-demand reads/writes could create bottleneck to operational applications

11. What is driving this?  A data warehouse is inherently a bad idea.  A proxy for ill fitting application data representing the true enterprise data model  In the big picture it actually introduces another heterogeneous application  Satisfies same need by providing core data with rules in services on demand  Operational data integration  On demand analytics  BAM and BPM  Need to integrate structured, semi and un-structured data  Need to be more nimble and flexible.

12. It is time to move to the middle  Focus on the Nouns and the Verbs  Master Data Management for operational and analytic applications  Standardized Data Quality Services  Data Services that can be Orchestrated and delivered with Functional Services  Data Governance  Function Governance

13. Information Integration Architecture

14. In other words, SODW  Service Oriented Data Warehousing (SODW) is comprised of:  Variable Entity Latency  MDM to support both Operational and Analytic integration  Data Standardization and Quality Services are key  Data Integration Services  Traditional ETL

15. Entity Driven Latency  Low latency (Real Time)  Batch  Not an all or nothing approach  For each entity discover availability of source data  For each entity determine the consumer requirement for availability

16. Master Data Management +  One set of master reference data supporting operational integration and BI  Plus -> all data that is shared (including transactions) Create once share everywhere  Wrapped with services to integrate and access

17. Data Integration Services  ETL  ELT  Data standardization  Access

18. Portal Legacy Application Legacy Database Operations Application Database Operations Application Database Operations Application Database Operations Application Database Data Integration Business Intelligence Application Business Intelligence Application Database Application Database Data Integration Data Integration Master Data Management+ Enabling SODW

19. BI Data Server Functional Application Servers App Data Server MDM Data Server Data Integration Server Meta Data Server Legacy Mainframe BI Application Server Enabling SODW

20. Questions?

21.  Data Hubs (Customer, Product, Financial) or build my own MDM+ repository  OWB Services exposed in the database for ETL and Data Quality processing  Oracle Data Integrator  SOA Suite, BPEL, Oracle Business Intelligence Hey! I can do this with Oracle Database and Fusion Middleware!

22. The SODW Market  Both IBM and Oracle are pushing data integration and data hubs to the middleware stack  Informatica is pushing hard into the SODI space  Business Intelligence tools are moving to SOA based platforms too (How will SAP integrate Business Objects?)

23. Questions?

24. Examples from a Life Insurance Customer  New Policy Application  Total Premiums by Product, Agent, Period  Alerts for New Policies by Agent vs. Historical trend for Cancellations/Non- Payment

25. New Policy Application NounsVerbs Insured NameStandardize Validate Agent NameStandardize Validate Coverage RequestedCurrent Total Coverage Current Applications Medical HistoryRetrieve Medical History Verify and Update Policy ApplicationDeliver to Underwriting

26. New Policy Application XML Policy Standardize Validate Party Master Data Management+ PartyPolicy Retrieve Coverage Retrieve Medical XML Insured Medical Information HTT P MIB Service Bureau XML Policy Underwriting Engine

27. Total Premiums by Product Portal Policy Admin Application Database Profitability Analysis Application Data Mart Data Integration Master Data Management+

28. Operational Analytics Portal Policy Admin Database Application Data Mart Data Integration Master Data Management+ Surrender Service

29. Questions?

30. Your Take Aways  Enterprise Information Integration  What is it  What problems it solves  The keys to the strategy  How Fusion Middleware fits in

31. Sessions to Check Out

32. Become a Complete Oracle Technology and Database Professional  Join the IOUG online at www.ioug.org and get immediate access to:  Member Discounts and Special Offers  SELECT Journal  Library of Oracle Knowledge (LoOK)  Member Directory  Special Interest Groups  Discussion Forums:  Access to Local and Regional Users Groups:  5 Minute Briefing: Oracle  Volunteer Opportunities

33.  Please visit www.ioug.org to learn more about joining the IOUG BIWA SIG.www.ioug.org Join the BIWA SIG Today!

34. Thank You!  Please fill out your evaluation forms  Andy Flower  Complete Information Integration, Session # 101  For further information you can contact me at  aflower@loganbritton.com aflower@loganbritton.com  For more information about LoganBritton, visit LoganBritton.com