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Intro to Master Data Warehousing A Bridge Over Siloed Data

Intro to Master Data Warehousing A Bridge Over Siloed Data. Rob Paller, Consultant Baseline Consulting. Overview. Data as an enterprise asset What is data? What is an asset? Data as an asset How does data compare? Types of Data Master Data Master Data Management (MDM)

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Intro to Master Data Warehousing A Bridge Over Siloed Data

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  1. Intro to Master Data WarehousingA Bridge Over Siloed Data Rob Paller, ConsultantBaseline Consulting

  2. Overview • Data as an enterprise asset • What is data? • What is an asset? • Data as an asset • How does data compare? • Types of Data • Master Data • Master Data Management (MDM) • The Master Data Warehouse

  3. What is data? “… Data is the raw material ... used by information consumers to create information.” -- DMReveiw.com

  4. 24 Gigabytes

  5. Data Overflow

  6. What is an asset? “an item of value owned” – Webster’s Dictionary

  7. Data as an asset?

  8. Value is quantifiable

  9. Helps achieve strategic goals

  10. Awareness of the asset’s importance

  11. How does data compare?

  12. Checkpoint • Data as an enterprise asset • Types of Data • Transaction • Reference • Metadata • Master Data • Master Data Management (MDM) • The Master Data Warehouse

  13. Types of Data Transaction Data Reference Data Metadata

  14. Checkpoint • Data as an enterprise asset • Types of Data • Master Data • Master Data Management (MDM) • The Master Data Warehouse

  15. Master Data and the State of Michigan is…

  16. … about people, places, and phenomena.

  17. Checkpoint • Data as an enterprise asset • Types of Data • Master Data • Master Data Management (MDM) • 5 Levels of Master Data Maturity • Master Data Benefits • Master Data Challenges • The Master Data Warehouse

  18. Master Data Management “is the set of disciplines and methods to ensure the currency, meaning, and quality of a the State’s reference data within and across subject areas and systems” -- Customer Data Integration: Reaching a Single Version of the Truth Dyche, Jill and Evan Levy. Wiley (July 21, 2006)

  19. 5 Levels of Maturity for Master Data Management

  20. Level 5 Enterprise Data Convergence Level 4 Business Rule and Policy Support Level 3 Centralized Hub Processing Level 2 Peer-Based Access Level 1 List Provisioning Level 0 No Master

  21. Master Data Benefits

  22. Master Data Challenges

  23. Checkpoint • Data as an enterprise asset • Types of Data • Master Data • Master Data Management (MDM) • The Master Data Warehouse

  24. Current Environment DCH CSES DHS

  25. The Master Data Warehouse

  26. Thank You!

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