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Presentation by Luc Delanglez (DataLumen) at the Data Vault Modelling and Data Governance conference on Oct. 17, 2019: From the Data Governance trenches: A real-life perspective

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20 Oct 2019
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Presentation by Luc Delanglez (DataLumen) at the Data Vault Modelling and Data Governance conference on Oct. 17, 2019: From the Data Governance trenches: A real-life perspective

  1. From the Data Governance trenches A real-life perspective
  2. 2 From the Data Governance trenches 19/10/2019 Find Understand Trust How to better Your Data
  3. 3 Agenda • • • • • • • • 19/10/2019
  4. Why Data Governance?
  5. 5 Find and Understand Relevant for me How to access the data For which purpose to use Who can I share it with Who is the SME Who has used it before Which data is similar Linked business terms Trust Certified? Quality Reviews Historical usage Is it governed? Trusted source? Cross industry studies show that, on average, less than half of an organization’s structured data is actively used in making decisions - HBR Find, Understand and Trust Find Understand Trust
  6. Data Governance Building Blocks
  7. 7 Building Blocks • • • • • • • • • • • • • • • • • • • DataGovernanceBuildingBlocks
  8. 8 Building Blocks - A Glossary Example DataGovernanceBuildingBlocks
  9. 9 Building Blocks - Search 19/10/2019 DataGovernanceBuildingBlocks
  10. 10 19/10/2019 Building Blocks - Data Catalog –Search DataGovernanceBuildingBlocks
  11. 11 19/10/2019 Building Blocks - Workflow – Critical to operationalize DataGovernanceBuildingBlocks
  12. 12 Building Blocks - Typical Workflows 19/10/2019 DataGovernanceBuildingBlocks
  13. 13 Building Blocks - Business Lineage 19/10/2019 DataGovernanceBuildingBlocks
  14. 14 19/10/2019 Building Blocks - Technical Lineage DataGovernanceBuildingBlocks
  15. 15 Building Blocks - End-to-End Lineage – For Compliance 19/10/2019 DataGovernanceBuildingBlocks
  16. 16 19/10/2019 Building Blocks – MDM example - Relation to Business Process and Rules DataGovernanceBuildingBlocks
  17. GDPR As Part Of Your DG
  18. 18 GDPR Data Register - Connected & Reusable GDPR Data Sets Processes Data Elements Roles Systems Terms and definitions Projects … GDPRAsPartOfYourDG
  19. 19 19/10/2019 GDPRAsPartOfYourDG
  20. GDPRAsPartOfYourDG
  21. Business Relevant Data Quality Metrics
  22. 22Data Quality results Fine grained measured in a DQ tool and uploaded 19/10/2019 BusinessRelevantDataQualityMetrics
  23. 23 Data Quality results – Aggregated to a higher level 19/10/2019 BusinessRelevantDataQualityMetrics
  24. 24 Example of DQ issue analysis of a report 19/10/2019 BusinessRelevantDataQualityMetrics
  25. 25 Data Quality results – Aggregated from column level to report level 19/10/2019 BusinessRelevantDataQualityMetrics
  26. 26 Tags, Ratings, Comments... 19/10/2019 BusinessRelevantDataQualityMetrics
  27. Governing A Multi-Store Reality
  28. 28 The Multiple Data Store Reality 19/10/2019 Applications BI and visualisation tools Advanced analytics Structured Data Semi structured and Unstructured Data SQL NoSQL Real Time Python R…. GoverningAMulti-StoreReality
  29. 29 A Popular Data Integration Pattern Structured Data MDM Party Prod Loc EDW DM Graph database Appliance Semi structured and Unstructured Data • • • • • • • GoverningAMulti-StoreReality
  30. 30 Logical Data Lake 19/10/2019 Structured Data MDM Party Prod Loc Semi structured and Unstructured Data ODS DW DM Staging Images Video Sensor Published Archived In progress data text Data Virtualization services Data Catalog - Glossary RawUnstructured lessgoverned Trusted-governed Data Consumers GoverningAMulti-StoreReality
  31. 31 Data Catalog – Fundamental Role 19/10/2019 Raw Data Clean and Integrate service Trusted Data Data Catalog Re-usable Data Service Raw Data Producers Clean and Integrate service Publish Consume Trusted Data Reuse data or service Feedback Consumers Validation and Certification GoverningAMulti-StoreReality
  32. 32 Feature Promise < > Governance Nightmare 19/10/2019 • • GoverningAMulti-StoreReality
  33. 33 How to bring in volatile/variety of sources? ETL ETL ETL ETL ETL DMDWH Staging Areas Source systems ETL ETL ETL ETL GoverningAMulti-StoreReality
  34. 34 Logical DWH Architecture ETL ETL ETL DMDWH Staging Areas Source systems DataVirtualizationServer AbstractionFederationCaching GoverningAMulti-StoreReality
  35. Getting Started
  36. 37 Getting Started • • • • • • • 19/10/2019
  37. Q&A DATALUMEN, VELDKANT 31, 2550 KONTICH, BELGIUM WWW.DATALUMEN.EU
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