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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

What you can expect to learn

Throughout this book, I promise to be transparent and direct about my experiences, and we’re going to start strong: governance programs fail because we have failed. We have failed to explain data governance in a way that makes sense to our business stakeholders. We have failed to deeply and intimately understand how our solutions will drive business success. In short, we have failed to explain in terms of business value. Conversely, the most successful data executives I have had the opportunity to work with have been successful because they deeply understand their company. They have spent the time to intimately understand the business, have crafted data solutions that enable business success and have successfully explained the benefits in terms of business results vs. data results.

As we go deep into these topics, I will not make assumptions about your experience implementing a successful data governance program. I will start with the basics by grounding you in definitions and the foundational capabilities and will build on how to launch a successful and impactful program, complete with the measures for success that will resonate with executive management and, ultimately, the board of directors for your organization. In the end, we will complete a case study to bring it all together. By the end of this book, you will have all you need to launch a program and deliver with excellence in your own organization. No longer will your organization be overwhelmed by data and underwhelmed by insight. We will change the narrative together.

In this chapter, we will ground ourselves in the basics of data governance and how it relates to adjacent capabilities. Then, we will define the components of a data governance program, why each component matters, and why we treat data governance as an enabler for business value. Subsequent chapters will dive deeper into the fundamental capabilities of a data governance program and how to implement them.

We will cover the following main topics:

  • What is data governance?
  • What’s driving the increasing need for data governance?
  • A brief overview of the data governance components
  • Data governance as a strategic enabler
  • Building a business case for your company
  • When and why to launch a data governance program
You have been reading a chapter from
Data Governance Handbook
Published in: May 2024
Publisher: Packt
ISBN-13: 9781803240725
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