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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

People, Process, and Technology

Data stewardship is not the goal – it is the enabler for your organization to get to the desired data maturity level, reduce the business and regulatory risk, and drive measurable business value. In this pivotal chapter, we’ll delve into the heart of data governance by exploring its key components: People, Process, Technology, Culture, and the Target Operating Model (TOM).

The significance of these elements extends beyond their roles as collectively, they establish a robust, comprehensive data governance strategy. As per Figure 2.2 in Chapter 2, you can see how People, Process, and Technology support the implementation of data use cases and fulfill business and data strategies. We’ll begin with People, where we will delineate the roles and responsibilities, skills, and training required, as well as stakeholder engagement. When we cover Process, we will unpack the framework, data quality management, and the crucial aspects of compliance...

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