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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

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

AI analytics, top data use cases 236

analytics 237

behavioral analytics, for B2B and B2C 238

copilots 237

customer acquisition and venture integration 237, 238

customer support services 236

customer value 237

segmentation 237

software engineering 237

AI-assisted data management 232

automation, of data life cycle 233

data quality and health 232

discoverability of patterns and deep data context 233

AI-driven data catalog 231

AI ethics 230

AI for Data 229, 230

AI governance 230

AI over Data 234

custom LLMs and orchestrators 234, 235

data and AI-powered business 238

top data use cases, for AI analytics 236

AI-powered data enrichment 232

AI-powered data governance 231

data standards and policies 231

ML models 232

B

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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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