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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

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781835469187
Length 270 pages
Edition 1st Edition
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Author (1):
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Aleksejs Plotnikovs Aleksejs Plotnikovs
Author Profile Icon Aleksejs Plotnikovs
Aleksejs Plotnikovs
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Table of Contents (19) Chapters Close

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 18. Other Books You May Enjoy

AI for Data

This section isn’t meant to provide an all-inclusive list of everything that AI could do to help make company data more reliable, discoverable, and trusted. Rather, it serves as an example of directional thinking, where we aim to use powerful AI capabilities in the fields of AI governance, DG, and data management. With the successful implementation and adoption of these, we radically improve the “state of data” at an enterprise, creating the trusted baseline for advanced AI analytics to thrive.

To illustrate this, I asked ChatGPT to create a visual of AI for Data and then added the groups and subgroups of data capabilities, all united under the same umbrella.

Figure 13.1 – How AI will advance data capabilities

Figure 13.1 – How AI will advance data capabilities

We have three major groups here – AI governance and ethics, AI-powered DG, and AI-assisted data management.

Let’s dive in and review each of them in more detail.

AI governance and ethics...

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