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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

The path toward domain thinking

In Chapters 3 and 4, we reflected on the extensive range of services we’ve offered to our business audience. We embarked on this journey with reactive services, prioritizing the immediate satisfaction of business needs. This approach was foundational, setting the stage for our evolution into proactive services, where our aim shifted to staying ahead of potential data quality issues and proactively addressing them before they impacted our users.

This progression led us to the advanced stage of predictive data management, where we excelled in anticipating data gaps and challenges, enabling an intelligent, learnable, and repeatable response.

The implementation of these diverse services marked a pivotal moment of success within the company.

We were particularly effective in resolving the most intricate and concerning data issues, adeptly responding to the need for high-quality data. At this moment, we sensed a shift in our approach –...

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