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HBR's 10 Must Reads on Data Strategy

Brief Description
Data is your business. Have you unlocked its full potential? If you read nothing else on data strategy, read HBR's 10 Must Reads on Data Strategy. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you maximise your... Read More
Format: Paperback / softback
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HBR's 10 Must Reads on Data Strategy

If you read nothing else on data strategy, read this book. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you maximize your analytics capabilities; harness the power of data, algorithms, and AI; and gain competitive advantage in our hyperconnected world.

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Data is your business. Have you unlocked its full potential?

If you read nothing else on data strategy, read HBR's 10 Must Reads on Data Strategy. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you maximise your analytics capabilities; harness the power of data, algorithms, and AI; and gain competitive advantage in our hyperconnected world.

This book will inspire you to:

  • Reap the rewards of digital transformation
  • Make better data-driven decisions
  • Design breakout products that generate profitable insights
  • Address vulnerabilities to cyberattacks and data breaches
  • Reskill your workforce and build a culture of continuous learning
  • Win with personalised customer experiences at scale

This collection of articles includes:

  • 'What's Your Data Strategy?', by Leandro DalleMule and Thomas H. Davenport
  • 'Democratizing Transformation', by Marco Iansiti and Satya Nadella
  • 'Why Companies Should Consolidate Tech Roles in the C-Suite', by Thomas H. Davenport, John Spens, and Saurabh Gupta
  • 'Developing a Digital Mindset', by Tsedal Neeley and Paul Leonardi
  • 'What Does It Actually Take to Build a Data-Driven Culture?', by Mai B. AlOwaish and Thomas C. Redman
  • 'When Data Creates Competitive Advantage', by Andrei Hagiu and Julian Wright
  • 'Building an Insights Engine', by Frank van den Driest, Stan Sthanunathan, and Keith Weed
  • 'Personalization Done Right', by Mark Abraham and David C. Edelman
  • 'Ensure High-Quality Data Powers Your AI', by Thomas C. Redman
  • 'The Ethics of Managing People's Data', by Michael Segalla and Dominique Rouzies
  • 'Where Data-Driven Decision-Making Can Go Wrong', by Michael Luca and Amy C. Edmondson
  • 'Sizing Up Your Cyberrisks', by Thomas J. Parenty and Jack J. Domet
  • 'A Better Way to Put Your Data to Work', by Veeral Desai, Tim Fountaine, and Kayvaun Rowshankish
  • 'Heavy Machinery Meets AI', by Vijay Govindarajan and Venkat Venkatraman

HBR's 10 Must Reads are definitive collections of classic ideas, practical advice, and essential thinking from the pages of Harvard Business Review. Exploring topics like disruptive innovation, emotional intelligence, and new technology in our ever-evolving world, these books empower any leader to make bold decisions and inspire others.

Book Details

INFORMATION

ISBN: 9798892790918

Publisher: Harvard Business Review Press

Format: Paperback / softback

Date Published: 17 June 2025

Country: United States

Imprint: Harvard Business Review Press

Illustration: Illustrations

Audience: General / adult, Professional and scholarly

DIMENSIONS

Width: 140.0mm

Height: 210.0mm

Weight: 0g

Pages: 208

About the Author

Harvard Business Review is the leading destination for smart management thinking. Through its flagship magazine, 9 international licensed editions, books from Harvard Business Review Press, and digital content and tools published on HBR.org, Harvard Business Review provides professionals around the world with rigorous insights and best practices to lead themselves and their organisations more effectively and to make a positive impact.

You can find HBR at: hbr.org
Twitter: @HarvardBiz
LinkedIn: linkedin.com/company/harvard-business-review
Facebook: @HBR
Instagram: @harvard_business_review
YouTube: youtube.com/user/harvardbusinessreview

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