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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

Conclusion

Measuring value for an organization is not easy. It takes thoughtful alignment with stakeholders about how to measure success, together. No one team can solve this independently; you must bring the discussion about value measurement into the early stages of the project, focus the stakeholders on the importance of alignment, and build a rigorous, transparent process into the normal flow of business. In my experience, many teams discuss having this capability, or may even claim to have something similar. In practice, very few teams do this consistently well across their entire company. Let’s normalize this process so that as a practice, we can demonstrate that there is an incredible return on investment (ROI) in data. In this chapter, we walked through the eight-step alignment methodology to drive outcomes with your stakeholders, common alignment challenges, and how to carry forward the measured outcomes to your stakeholder map for aggregated value alignment.

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