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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

Addressing urgency

In this section, we are going to focus on several data enablement and support initiatives that were provided by our team to our beloved business stakeholders.

With our scope of work having a growing nature, along with the evolution of the data-related work itself, it became clear that we needed to split these DQ initiatives and data services into three very broad, yet distinctive categories.

These categories coexisted at some points in time, but they also represented a somewhat natural evolution of how a data team should react to the needs of the business for highly qualitative data.

The three categories of data enablement and support were as follows:

  • Reactive data services
  • Proactive data services
  • Predictive data services

This is the way they appeared chronologically and, as we have said, this represents a natural evolution of doing data delivery work. If we compare them all in a single view, we will see the immediate differences in...

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