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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

Leveraging technology to fast-track your data journey

Technology is the enabler that allows people to carry out the right process in the most efficient way.

Leveraging technology can dramatically accelerate an organization’s data journey. In this era of rapid digital transformation, the sheer volume and complexity of data can be overwhelming. Manual processes and traditional approaches often fall short when it comes to managing, processing, and deriving value from this vast sea of information. This is where technology steps in, providing the tools and platforms necessary to handle, analyze, and utilize data effectively and efficiently.

However, there is no one-size-fits-all solution. Here are some key considerations when you choose the technology you wish to use:

  • Automation: This is a key factor in data governance as it can help streamline processes and reduce manual labor. Automation of data life cycle management can also help ensure data accuracy and integrity...
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