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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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Toc

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

What roles are needed

The roles needed in an office of the CDO vary depending on the size and complexity of the organization. The CDO plays a critical role in helping organizations make better decisions by providing them with access to high-quality data. They also help organizations to comply with data privacy regulations. Therefore, the first role we will establish and define is that of CDO. The CDO is unlikely to be the first hire for data in an organization.

Most often, there are team members who exist and may even be excelling prior to the hiring or establishment of the CDO. Usually, some kind of organizational moment (a crisis, a need to make a shift toward using data, a realization that the company is failing to make timely decisions) has happened, which drives the hiring of a data executive. There are usually data professionals in a company ahead of this hire. They usually are not organized in a central function, or they are centralized but with lower-level professionals...

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