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Data Stewardship in Action

You're reading from  Data Stewardship in Action

Product type Book
Published in Feb 2024
Publisher Packt
ISBN-13 9781837636594
Pages 272 pages
Edition 1st Edition
Languages
Author (1):
Pui Shing Lee Pui Shing Lee
Profile icon Pui Shing Lee

Table of Contents (18) Chapters

Preface Part 1:Why Data Stewardship and Why Me?
Chapter 1: From Business Strategy to Data Strategy to Data Stewardship Chapter 2: How Data Stewardship Can Help Your Organization Chapter 3: Getting Started with the Data Stewardship Program Part 2:How to Become a Data Steward and Shine!
Chapter 4: Developing a Comprehensive Data Management Strategy Chapter 5: People, Process, and Technology Chapter 6: Establishing a Data Governance Organization Chapter 7: Data Steward Roles and Responsibilities Chapter 8: Effective Data Stewardship Chapter 9: Supercharge Data Governance and Stewardship with GPT Part 3:What Makes Data Stewardship a Sustainable Success?
Chapter 10: Data Stewardship Best Practices Chapter 11: Theory versus Real Life Chapter 12: Case Studies Index Other Books You May Enjoy

Future-proofing your data stewardship program

In this increasingly data-driven world, it is essential for organizations to stay ahead of the curve in managing their data assets. As such, the final section of this chapter focuses on preparing your data stewardship initiatives to be resilient and adaptable to future changes and challenges. The goal is not only to safeguard your current data management efforts but also to ensure their relevancy and effectiveness in the long run. In this section, we will explore strategies and best practices to help you build a robust, flexible, and forward-thinking data stewardship program that can withstand the test of time and technological advancements.

Benchmarking with DAMA and EDMC surveys

The Data Management Association (DAMA) and the Enterprise Data Management Council (EDMC) provide valuable resources for benchmarking an organization’s data maturity and literacy. These include surveys that assess various aspects of data management...

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