HBR's 10 Must Reads on Data Strategy by Harvard Business Review Press

£16.99
Available
Product Ref. (e.g. ISBN, SKU)
9798892790918
Published:
17 Jun 2025
Format:
Paperback
Number of pages:
208 pages
Dimensions:
210x140mm
Weight:
0.000kgs
"Algorithms, machine learning, generative AI. With the latest advancements in technology, data is taking center stage in organizations. But without a clear plan for how you're storing, integrating, and gaining value from that information, your company will be at risk-and fall behind. If you read nothing else on setting a data strategy in your organization, read these 10 articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you improve your analytic and algorithmic capabilities, navigate digital transformation, and achieve competitive advantage in our hyperconnected world. This book will inspire you to: Quantify the benefits of a digital transformation; discover opportunities for innovative, data-backed products and services; better understand and improve your customer experience; break down silos and share higher-quality information across your organization; identify are

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

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.

This book will inspire you to:

Reap the rewards of digital transformationMake better data-driven decisionsDesign breakout products that generate profitable insightsAddress vulnerabilities to cyberattacks and data breachesReskill your workforce and build a culture of continuous learningWin with personalized 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," Veeral Desai, Tim Fountaine, and Kayvaun Rowshankish; and "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.

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 organizations more effectively and to make a positive impact.You can find HBR at: hbr.orgTwitter: @HarvardBizLinkedIn: linkedin.com/company/harvard-business-reviewFacebook: @HBRInstagram: @harvard_business_reviewYouTube: youtube.com/user/harvardbusinessreview

More Information
Number of pages 208

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