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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 legacy of Microsoft Organizations

Let’s start with the first attempts and how this whole concept of MDM was created and introduced in the company.

When I joined Microsoft, one of the foundational solutions in global IT architecture was a system called MSO, which stands for Microsoft Organizations. In a way, it was an attempt to create an organizational master, and the reason for this was very specific – it came down to the necessity of connecting a CRM system, which was running on Siebel in those days, with the in-house-built revenue collection system. We had to make an explicit link between a customer in the CRM with the respective revenue landing in our revenue collection system.

It was not efficient to simply make a direct link between the systems. We tried it, and it didn’t work well. It created even more frustration due to the high volatility of data. Here, the idea was to have something serving as a proxy, almost like a keyring, but with data mastering...

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