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Data Governance Handbook

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

Product type Paperback

Published in May 2024

Publisher Packt

ISBN-13 9781803240725

Length 394 pages

Edition 1st Edition

Languages

Python

Concepts

Data Governance

Author (1):

Wendy S. Batchelder

View More author details

Table of Contents (24) Chapters

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

Why subscribe?

23. Other Books You May Enjoy

Part 2:Data Governance Capabilities Deep Dive

In this part, you will get an overview of each of the six key data governance capabilities, starting with key definitions, how to measure success, and examples of what works well and what doesn’t. You will be guided through the implementation of foundational programs for each capability, and how to launch each capability in your organization.

This part contains the following chapters:

Chapter 6, Metadata Management
Chapter 7, Technical Metadata and Data Lineage
Chapter 8, Data Quality
Chapter 9, Data Architecture
Chapter 10, Primary Data Management
Chapter 11, Data Operations

The rest of the chapter is locked

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Authors (1)

Wendy S. Batchelder

Wendy S. Batchelder

Wendy S. Batchelder is a three-time chief data officer with a wide understanding of how to take highly technical aspects of data and analytics and translate them into simple, concise business-valued solutions that are practical and easy to understand. Her background has led her to lead global data and analytics organizations at four Fortune 500 companies, including Wells Fargo, VMware, Salesforce, and now, Centene. She approaches situations with curiosity and humility, which has led to applying innovative data solutions to challenges with increased complexity to deliver value that companies can measure. A lifelong learner, Wendy graduated from Miami University with a BS in accounting with a minor in information systems, from Drake University with a master's in accountancy, and from the University of Iowa with an executive MBA, and she has completed ongoing professional education at Harvard Business School. Wendy resides in West Des Moines, Iowa, with her husband and six children.

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