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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

Unique Data IP Is Your Magic

One of the first global data capabilities implemented at Microsoft was not even a data platform solution back then, but a mixture of a data sandbox and data warehousing solution named “Magic Reports.” It had several Data Quality (DQ) scans and analytical reports to spot various issues across the ingested and on-boarded datasets and provided a set of simple dashboards to monitor the most essential KPIs – mostly about the accuracy of the revenue attainment and landing of it on correct accounts, customer DQ and completeness, and a few other things.

As we evolved, this solution evolved too. It was re-engineered and redesigned completely to become our data innovation and operations platform, aka the data management sandbox, and was eventually uplifted and integrated into the enterprise data mesh. We will cover this properly in Chapter 10.

But for now, let’s think about that intriguing yet straight-to-the-point part of the name...

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