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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

Setting up data classification, access control, and security

Establishing data classification, access control, and security is the cornerstone of data stewardship. Data classification is the process of categorizing data based on its sensitivity and importance. This helps organizations determine who should have access to what data and how to protect it. Access control is the process of granting and denying access to data based on user roles and permissions. Security measures are used to protect data from unauthorized access, such as encryption, authentication, and data masking. A data steward is responsible for setting up and maintaining data classification, access control, and security measures to ensure data is properly protected.

Data classification

Data classification is the process of categorizing data into various types, based on factors such as its sensitivity, criticality, and regulatory requirements. It’s a crucial step in data stewardship and governance for several...

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