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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 Is Data Governance?

As a data professional, some of the most frustrating conversations you will have about data governance will be about data programs feeling like a series of constraints versus a strategic enabler and that you are slowing business down vs. enabling excellence. Having led data transformations in three Fortune 500 companies, I have heard my fair share of these same messages. In my humble opinion, this is feedback; feedback that we are speaking in “data speak” and have not created a business case that is centered on value generation from the lens of our stakeholders. Rather, we have delivered a business case that is focused on data needs vs. business needs.

From a stakeholder’s perspective, there are a plethora of forces at stake in driving business: generating revenue through the sales teams, marketing to existing and potential customers, economic factors, and supply chain challenges. Data is a part of all of these critical business components, but it is not the first thing that comes to mind for our stakeholders. It is embedded in how business runs. It is a part of the day-to-day. It does not and should not feel like a standalone function.

Therefore, it’s our job to serve the business and to make it feel seamless to the business stakeholders we enable. When things feel like friction, it’s not necessarily because we’re not supported; it’s because we are one of many problems leaders are facing. Often, this comes in the form of a lack of buy-in or pushback, a seemingly endless number of questions, or simply a lack of engagement. For data professionals, conversations like this often end in frustration and the underfunding of the data governance program. I have seen this scenario over and over again in organizations firsthand and have heard it from data executives in every single industry. Far too often, it ultimately ends in the failure of a chief data & analytics officer to survive in the organization.

The question is, why?

Over the course of the next 17 chapters, I will explain why Chief Data and Analytics Officers fail to establish themselves as strategic business partners in their organizations and how you can overcome these common pitfalls and succeed. I will cover everything you need to know to build a case for data governance, rally your organization to support you, deploy a strong data governance program, leverage core data governance solutions, and apply all of this in a case study for a fictitious financial institution. Let’s dive in.

You have been reading a chapter from
Data Governance Handbook
Published in: May 2024
Publisher: Packt
ISBN-13: 9781803240725
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