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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

Data Quality

The quality of decisions is tightly linked to the quality of data that supports them. As a result, the quality of data impacts every facet of the organization. It’s an (appropriately) bold statement that is often under-appreciated. From day-to-day operations to long-term strategic direction, having high-quality, reliable, and trustworthy information is not a “nice to have;” it’s a must-have for any company. Having quality data is critical for the success of any company of any size. How you operationalize ensuring you have quality data in your organization should vary based on the size and complexity of your organization, but the need for data quality is static. It’s at the very core of running any business.

In the ever-evolving landscape of data-driven decision-making, there exists a profound truth that we, as data custodians and stewards, must humbly acknowledge: the quality of our data is the cornerstone upon which all our analytical...

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