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Data Governance Handbook

You're reading from   Data Governance Handbook A practical approach to building trust in data

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Product type Paperback
Published in May 2024
Publisher Packt
ISBN-13 9781803240725
Length 394 pages
Edition 1st Edition
Languages
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Author (1):
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Wendy S. Batchelder Wendy S. Batchelder
Author Profile Icon Wendy S. Batchelder
Wendy S. Batchelder
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Table of Contents (24) Chapters Close

Preface 1. Part 1:Designing the Path to Trusted Data
2. Chapter 1: What Is Data Governance? FREE CHAPTER 3. Chapter 2: How to Build a Coalition of Advocates 4. Chapter 3: Building a High-Performing Team 5. Chapter 4: Baseline Your Organization 6. Chapter 5: Defining Success and Aligning on Outcomes 7. Part 2:Data Governance Capabilities Deep Dive
8. Chapter 6: Metadata Management 9. Chapter 7: Technical Metadata and Data Lineage 10. Chapter 8: Data Quality 11. Chapter 9: Data Architecture 12. Chapter 10: Primary Data Management 13. Chapter 11: Data Operations 14. Part 3:Building Trust through Value-Based Delivery
15. Chapter 12: Launch Powerfully 16. Chapter 13: Delivering Quick Wins with Impact 17. Chapter 14: Data Automation for Impact and More Powerful Results 18. Chapter 15: Adoption That Drives Business Success 19. Chapter 16: Delivering Trusted Results with Outcomes That Matter 20. Part 4:Case Study
21. Chapter 17: Case Study – Financial Institution 22. Index 23. Other Books You May Enjoy

Delivering Trusted Results with Outcomes That Matter

As the implementation of data governance occurs, the chief data and analytics officer and their leadership team must keep all messaging on delivering trusted results that are framed in business outcomes. This mindset requires CDAOs and their teams to think beyond “data metrics” into outcomes that matter to the business. In this chapter, you will learn how to ensure consistency in what was promised to stakeholders versus what was actually delivered, how to explain variances in expected delivery versus real results, and why that is trust building. Last, you will learn how to message back to stakeholders powerfully during delivery for impact.

As we dig in, I want to reframe much of what we have covered in this book to bring us to a final view, and that is to pull together a standard end-to-end data governance approach. As we have covered over the last 15 chapters, you will have to customize this model to meet your individual...

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