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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

Data Literacy has no end state

The subject of data literacy is intrinsically linked to the concept of data value.

From my perspective, without sufficient knowledge and the ability to delve deeply into our datasets, technology, business environment, and emerging concepts, we, as collective data and business teams, cannot fully grasp the value and potential of data.

Microsoft’s commitment to data literacy has always been a part of our portfolio, but its focus has undoubtedly evolved. By this, I mean that while we typically view ourselves as a data-centric team, our primary effort in data literacy extends outward to educating all business stakeholders and the community of data stewards. However, it also encompasses educating ourselves and our peer teams, composed of various personas, about the complex and intricate world of data.

Let’s begin with the traditional definition of Data Literacy.

To state it bluntly – it all ends in education. Yes, you read...

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