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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

How to Build a Coalition of Advocates

Arguably the most important part of launching a data governance program that drives impact is gaining support for your program. Given the velocity of data creation worldwide, the impact on company operations (positive when properly managed, not so positive when managed poorly), the degree of risk of data misuse and mismanagement carry, and the opportunity that comes with value creation, it is no surprise that data is a hot topic with staying power. In every company I have worked for, customers, employees, and peers across all industries are asking a very common and consistent question:

How can we build trust in our data?

The concept of trust is complex. You cannot buy it. You cannot snap your fingers and create it. It takes time to create and seconds to lose. What is interesting about applying the concept of trust to data is that users of data often presume the data is wrong and that they can’t trust it, especially when the data is...

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