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Chris  Madrid    Master Data Management
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Chris Madrid Master Data Management

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  • 1. 22-10-2008 This Presentation Courtesy of the International SOA Symposium October 7-8, 2008 Amsterdam Arena www.soasymposium.com info@soasymposium.com Founding Sponsors Platinum Sponsors Gold Sponsors Silver Sponsors Master Data Management Establishing a Strong SOA Foundation Chris Madrid cmadrid@microsoft.com 1
  • 2. 22-10-2008 Objectives & Takeaways  Objectives  Takeaways • Understand what • There are many Master Data different Management means in approaches. the industry. • This isn’t easy. Agenda  What problem does this solve?  How are these problems addressed?  What are the implementation options?  What are the key differences?  Start Making Investments  Questions & Answers 2
  • 3. 22-10-2008 What problem does this solve?  Distribution of Data  Identification of Data  Consistency of Data  Quality of Data  Availability of Data N-tier Paradigm Application Application Owner Owner UI UI Logic Logic Data Data 3
  • 4. 22-10-2008 Distributed Data Friction Points BUSINESS R&D Business Focus on siloed by document IT exchange Business model Technology model IIS ERP Solutions impose Inward constraints technology PLM driven view CRM TECHNOLOGY Applications 4
  • 5. 22-10-2008 How are these problems addressed? BUSINESS Business Requirements & Solutions Aligned Focus Architecture on Processes service Business model Service model IT Architecture Soft boundaries and Strategy Technology model Focus on Outward Services contract business- Solution driven view Architecture TECHNOLOGY and Delivery Enterprise Architecture Composite Applications Portals Smart Clients Service Oriented Architecture Services BPM EAI Master Data Management CDI EDW ODS 5
  • 6. 22-10-2008 Establish Master Data  Trustworthiness, Trustworthiness, Trustworthiness  MDM is a set of capabilities • Data Aggregation • Data Mapping • Data Normalization • Data Standardization Data Aggregation  Includes the common attributes found in each data store.  Includes the unique attributes found in each data store.  Establishes a one stop shop for retrieving data. 6
  • 7. 22-10-2008 Data Mapping  Identification of data elements representing the same entity attribute • Surname • LastName • LName • FamilyName Data Normalization  Improves the consistency of data. • Phone Numbers • Social Security Numbers • Postal Code 7
  • 8. 22-10-2008 Data Standardization  Data consistency is not enough. • Date formats could very well be consistent across systems, but could represent different time zones. Resulting Context 8
  • 9. 22-10-2008 What are the implementation options?  Topologies  Merge Models Topologies  Centralized  Distributed 9
  • 10. 22-10-2008 Merge Models  Single Updateable Node • Central Master Data • Local Master Data  Multiple Updateable Nodes Single Updateable Node – Central Master Data 10
  • 11. 22-10-2008 Single Updateable Node – Local Master Data Single Updateable Node – Local Data 11
  • 12. 22-10-2008 Multiple Updateable Nodes Merge Methods  Extract Transformation & Load  Enterprise Application Integration  Custom • Queues • Services 12
  • 13. 22-10-2008 Differentiating Data Concepts  MDM is relational model.  EDW is dimensional model.  Having an ODS does not mean you have adopted MDM.  An EDW may use data from the MDM solution. Start Making Investments  Key to realizing potential of SOA.  Many benefits of MDM can be realized without vendor products.  Identify systems of record.  Move to single updates if possible. 13
  • 14. 22-10-2008 Questions & Answers Chris Madrid  Microsoft Managed Services Engine on CodePlex cmadrid@microsoft.com • http://www.codeplex.com/servicesengine  Microsoft APO/SOA Self Assessment • http://www.microsoft.com/soa/about/assessment.aspx  Microsoft SOA & Business Process • http://www.microsoft.com/soa/  Microsoft Consulting Services APO Offerings • http://www.microsoft.com/services/microsoftservices/srv_ap o.mspx © 2008 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION. 14
  • 15. 22-10-2008 Widescreen Test Pattern (16:9) Aspect Ratio Test (Should appear circular) 4x3 16x9 15