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Data Management Strategy at Microsoft

You're reading from Data Management Strategy at Microsoft Best practices from a tech giant's decade-long data transformation journey

Product type Paperback

Published in Jul 2024

Publisher Packt

ISBN-13 9781835469187

Length 270 pages

Edition 1st Edition

Concepts

Data Governance

Author (1):

Aleksejs Plotnikovs

View More author details

Table of Contents (19) Chapters

Preface

1. Part 1:Thinking Local, Acting Global FREE CHAPTER

2. Chapter 1: Where’s My Data and Who’s in Charge?

3. Chapter 2: We Make Data Business Ready

4. Chapter 3: Thousands to One – From Locally Siloed to Globally Centralized Processes

5. Chapter 4: “Reactive! Proactive? Predictive”

6. Part 2: Build Insights to Global Capabilities

7. Chapter 5: Mastering Your Data Domains and Business Ownership

8. Chapter 6: Navigating the Strategic Data Dilemma

9. Chapter 7: Unique Data IP Is Your Magic

10. Chapter 8: The Pareto Principle in Action

11. Part 3: Intelligent Future

12. Chapter 9: Data Mastering and MDM

13. Chapter 10: Data Mesh and Data Governance

14. Chapter 11: Data Assets or Data Products?

15. Chapter 12: Data Value, Literacy, and Culture

16. Chapter 13: Getting Ready for GenAI

17. Index

Why subscribe?

18. Other Books You May Enjoy

Part 3: Intelligent Future

This final part elevates the conversation to the most advanced data subjects of today – deploying master data management, designing data mesh architecture, enabling federated data governance and data product thinking, and fostering data literacy and data culture. An additional chapter delves into AI readiness aspects and presents several highly focused approaches for successful enterprise-wide AI enablement.

This part includes the following chapters:

Chapter 9, Data Mastering and MDM
Chapter 10, Data Mesh and Data Governance
Chapter 11, Data Assets or Data Products?
Chapter 12, Data Value, Literacy, and Culture
Chapter 13, Getting Ready for GenAI

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Authors (1)

Aleksejs Plotnikovs

Aleksejs Plotnikovs

Aleksejs Plotnikovs has been leading global data delivery at Microsoft for more than 15 years, navigating from the early stages of the establishment of data management practices up to the modern data platform strategy. He led diverse data office teams and helped to build market-leading products fueled by data and AI capabilities, emphasizing data value and data monetization, while always emphasizing the enormous potential of data to address emerging business opportunities. A passionate data professional and an active ambassador of data culture, he actively contributes to the broader data community by coaching, consulting, running data master classes, and inspiring fellow professionals on LinkedIn.

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