Mastering the Data Paradox
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About
About the Book
About the Author
Awards & Recognition
Glossary
Videos
News
Events
Discussion Forum
Testimonials
Contact
Videos: MDP Masterclass with Nitin
Introduction
Understanding the Data-First World
Maximizing Value in the Data-First World
Data for Individuals, Society and Nations
Introduction: Fundamentals of the Digital Age
Module 1:
Data Explosion: An Unprecedented Phenomenon
Module 2:
Data, the Fuel for the Digital Age
Module 3:
Value Reimagined: Framework for Realizing Transformational Value from Data
Module 4:
The Data Paradox: Deluge and Drought
Module 5:
The Root Cause: More Logical than Physical
Module 6:
A Unified Solution Framework: Thirteen Mantras for Data Success
Module 6.1:
Define the Business Problems: Trees, Trees, Trees!
Module 6.2:
Multi-Source Data: It's Not a Lake, It's an Ocean
Module 6.3:
Real-Time Data: Action at the Speed of Light
Module 6.4:
Proprietary Data: The Secret Sauce for Competitive Advantage
Module 6.5:
Modern Data Stack: Scalable Platforms, Front-to-Back Integration
Module 6.6:
Data Quality: It's More than What Meets the Eye
Module 6.7:
Data Products: The Elusive Link between Data, Action and Impact
Module 6.8:
Agility: Mastering Two-Speed Execution
Module 6.9:
Data Democratization: Empowering with Data
Module 6.10:
Data Security: Biggest Threat to the Data Revolution
Module 6.11:
Organizational Alignment: Who Owns the Data?
Module 6.12:
Data Culture: Beware of the HiPPO Effect!
Module 6.13:
Data Talent: Talent Continues to Be Key in the AI Age
Module 7:
Moving from Enterprises to Individuals and Society
Module 8:
The World of Hyper-Personalization: Segment of One
Module 9:
Information and Wisdom: Reflect and Recognize Patterns
Module 10:
Data Sharing vs Data Privacy: Find the Right Balance
Module 11:
Data as a Source of National Competitive Advantage
Module 12:
Unlocking the Transformational Value of GenAI
Module 13:
Data, AI and Yogasutras
Module 14:
Mastering 10 Paradoxes to Maximize Value from Data
Module 15:
Life is Data and Data is Life
Conclusion:
Mastering the Data Paradoxes to Win in the AI Age