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Book Overview & Buying
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Table Of Contents
Data Management Strategy at Microsoft
By :
Data Management Strategy at Microsoft
By:
Overview of this book
Microsoft pioneered data innovation and investment ahead of many in the industry, setting a remarkable standard for data maturity. Written by a data leader with over 15 years of experience following Microsoft’s data journey, this book delves into every crucial aspect of this journey, including change management, aligning with business needs, enhancing data value, and cultivating a data-driven culture.
This book emphasizes that success in a data-driven enterprise goes beyond relying solely on modern technology and highlights the importance of prioritizing genuine business needs to propel necessary modernizations through change management practices. You’ll see how data-driven innovation does not solely reside within central IT engineering teams but also among the data's business owners who rely on data daily for their operational needs. This guide empower these professionals with clean, easily discoverable, and business-ready data, marking a significant breakthrough in how data is perceived and utilized throughout an enterprise. You’ll also discover advanced techniques to nurture the value of data as unique intellectual property, and differentiate your organization with the power of data.
Its storytelling approach and summary of essential insights at the end of each chapter make this book invaluable for business and data leaders to advocate for crucial data investments.
Table of Contents (19 chapters)
Preface
Chapter 1: Where’s My Data and Who’s in Charge?
Chapter 2: We Make Data Business Ready
Chapter 3: Thousands to One – From Locally Siloed to Globally Centralized Processes
Chapter 4: “Reactive! Proactive? Predictive”
Part 2: Build Insights to Global Capabilities
Chapter 5: Mastering Your Data Domains and Business Ownership
Chapter 6: Navigating the Strategic Data Dilemma
Chapter 7: Unique Data IP Is Your Magic
Chapter 8: The Pareto Principle in Action
Part 3: Intelligent Future
Chapter 9: Data Mastering and MDM
Chapter 10: Data Mesh and Data Governance
Chapter 11: Data Assets or Data Products?
Chapter 12: Data Value, Literacy, and Culture
Chapter 13: Getting Ready for GenAI
Index