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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

Introduction to three pivotal disciplines

So that we’re all on the same page moving forward, we will start by explaining what we mean by Data Value and Data Economics, Data Literacy, and Data Culture.

Data Economics

Data Economics, an emerging field of data knowledge, understands data as an economic asset with varying values. Some data holds immense potential, whereas other data might have limited utility. The economic value of data isn’t static; it evolves depending on how it’s leveraged within your organization. It will be most potent when applied across the company’s various departments, when raw data is turned into actionable insights that drive financial decisions and are reflected in the company’s Profit and Loss (P&L) statements.

Data Literacy

The concept of Data Literacy is vital for navigating the complex landscape of Data Economics. Just like traditional literacy, mastering data literacy requires time, practice, and commitment...

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