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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

Data Steward Roles and Responsibilities

This chapter will provide you with an overview of the roles and responsibilities of a data steward. We will discuss the importance of establishing data quality and lineage principles and practices, setting up data access control and security, and monitoring and ensuring compliance with regulations. This information will help you understand the roles and responsibilities of a data steward and the importance of data governance to your organization. We will also provide you with the knowledge and skills you need to become a successful data steward.

We’ll reinforce the foundation of data governance by exploring the following topics:

  • Understanding high-level roles and responsibilities
  • Establishing data quality and lineage principles and practices
  • Setting up data classification, access control, and security
  • Monitoring and ensuring data privacy and compliance
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