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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

Translating strategy into execution

In this section, we will explore the process of transforming a business strategy into a data strategy and then into data stewardship. We will provide you with an understanding of how to create a feedback loop between business strategy and data stewardship to ensure continuous improvement.

Executing a data strategy involves putting the plan into action. This involves implementing the data collection and management processes, developing the analytics and reporting tools, and creating the necessary infrastructure to support the data strategy.

The following subsections list the steps to execute a data strategy, common challenges faced, and recommendations to tackle those challenges.

Data collection

The first step in executing a data strategy is to collect the necessary data. Again, do not boil the ocean, and try to use the concept of CDE to scale down the complexity when you start a pilot. This involves setting up the data scoping process...

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