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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

Building momentum through a continuous delivery model

Quick wins are not just something that you create and deliver in the early phases of your tenure – they’re quite the opposite. You should create quick wins to build momentum, and then keep delivering with velocity over time. The best way to create momentum is by devising a continuous delivery model.

Continuous delivery model

A continuous delivery model enables your team to further deliver against each solution, by adopting the product mindset discussed previously, as well as using the same model to identify and deliver new quick win opportunities. The same model applies to both an individual solution, as well as the process overall, which makes it easier to deploy across your team. For engineers, this may look a lot like an agile delivery model, which it is modeled after. For non-engineers, this is the opportunity to learn from our technical counterparts and adopt their processes more broadly to solutions holistically...

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