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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

Product type Paperback

Published in Feb 2024

Publisher

ISBN-13 9781837636594

Length 272 pages

Edition 1st Edition

Languages

Python

Tools

Azure

Concepts

Data Science

Author (1):

Pui Shing Lee

View More author details

Table of Contents (18) Chapters

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

Why subscribe?

17. Other Books You May Enjoy

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

access control 139

AI and GPT

leveraging, for data governance 171

AI and GPT, for data governance

automation and enrichment 173, 174

challenges and limitations 177-180

data quality and trust, enhancing 172, 173

innovation and insight, driving 175-177

AI, for data governance

future 186, 187

application programming interfaces (APIs) 202

artificial intelligence (AI) 30

tools 122

assessment model 58

average transaction value (ATV) 116

B

Bank of East Asia (BEA) 229

blockchain 206

and AI 206

bottom-up data governance 165

versus top-down data governance 165

business and data strategy

fulfilling 65, 66

business-as-usual (BAU) activity 160

business cases

using, for storytelling and value realization 27-30

business intelligence...

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Authors (1)

Pui Shing Lee

Pui Shing Lee

Pui Shing Lee is a visionary leader with two decades' experience in FinTech, Data, AI, and Cloud across Europe, the US, and APAC. He is a Cloud Solution Strategist (Data & AI) at Microsoft. With a passion for deriving actionable insights from data, he provides comprehensive solutions for customers' journeys, ensuring tangible business outcomes. Shing holds industry-leading certifications like DAMA CDMP and EDMC CDMC V1. His professional experience includes roles as Chief Data Officer at Hang Seng Index, Head of Data Governance at HKEX, and APAC Director at IHS Markit. As the co-founder of the Data Literacy Association, Shing advocates for a culture-fit data strategy, self-service models, and automated governance on robust cloud platforms.

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