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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

Summary

Data stewardship principles are the backbone of a robust data governance framework. The design of an organization’s data policy should balance between safeguarding data assets and empowering the organization to leverage data optimally.

Data IM is one of the essential facets that ensures swift and effective responses to data breaches or other incidents. A well-defined process outlining roles, responsibilities, investigative steps, mitigation strategies, and stakeholder communication is crucial. Further, the implementation of data ownership is vital for efficient and effective data management. It assigns clear responsibilities, enhancing accountability and ensuring that data is used to its full potential.

However, it is important to remember that these guidelines are not universally applicable in their raw form. Every organization has unique needs, so the data policy, IM, and data ownership principles should be customized accordingly. Moreover, these principles are...

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