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Data Stewardship in Action

You're reading from   Data Stewardship in Action A roadmap to data value realization and measurable business outcomes

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Product type Paperback
Published in Feb 2024
Publisher
ISBN-13 9781837636594
Length 272 pages
Edition 1st Edition
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Author (1):
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Pui Shing Lee Pui Shing Lee
Author Profile Icon Pui Shing Lee
Pui Shing Lee
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Table of Contents (18) Chapters Close

Preface 1. Part 1:Why Data Stewardship and Why Me? FREE CHAPTER
2. Chapter 1: From Business Strategy to Data Strategy to Data Stewardship 3. Chapter 2: How Data Stewardship Can Help Your Organization 4. Chapter 3: Getting Started with the Data Stewardship Program 5. Part 2:How to Become a Data Steward and Shine!
6. Chapter 4: Developing a Comprehensive Data Management Strategy 7. Chapter 5: People, Process, and Technology 8. Chapter 6: Establishing a Data Governance Organization 9. Chapter 7: Data Steward Roles and Responsibilities 10. Chapter 8: Effective Data Stewardship 11. Chapter 9: Supercharge Data Governance and Stewardship with GPT 12. Part 3:What Makes Data Stewardship a Sustainable Success?
13. Chapter 10: Data Stewardship Best Practices 14. Chapter 11: Theory versus Real Life 15. Chapter 12: Case Studies 16. Index 17. Other Books You May Enjoy

Assessing your current data environment for creating a data strategy – Where are you now?

I came across a discussion thread on Reddit (https://www.reddit.com/r/dataengineering/comments/14e8nuu/what_is_the_best_way_to_optimize_5000_dashboards/). Here the author wanted to understand how to go about BI Modernization if there are 5000 dashboards thrown at you. Would the approach include gathering information on dashboards that got maximum hits, or check on data sources, how they are consumed and patterns on consumption?

What would you do if you were given this task?

Probably you should first ask why we need 5,000 dashboards. It does not make sense at all for most organizations. Maybe you should just shut down all 5,000 dashboards and then take a vacation. When you are back from holiday, see if your boss’s boss comes to your desk with a solid dashboard use case. Then you have your fresh, new use case pipeline.

You need to clarify what exactly the problem statement...

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