Barb Wixom, co-author of Data Is Everybody's Business: The Fundamentals of Data Monetization, reads excerpts from the book. Published in September 2023 by the MIT Press, Data Is Everybody's Business is a clear, engaging, evidence-based guide to monetizing data, for everyone from employee to board member.

Most organizations view data monetization—converting data into money—too narrowly: as merely selling data sets. But data monetization is a core business activity for both commercial and noncommercial organizations, and, within organizations, it’s critical to have wide-ranging support for this pursuit. In Data Is Everybody’s Business, the authors offer a clear and engaging way for people across the entire organization to understand data monetization and make it happen. The authors identify three viable ways to convert data into money—improving work with data, wrapping products with data, and selling information offerings—and explain when to pursue each and how to succeed.

Key features of the book:
• Grounded in twenty-eight years of academic research,including nine years of research at the MIT Sloan Center for Information Systems Research (MIT CISR)
• Definitions of key terms, self-reflection questions, appealing graphics, and easy-to-use frameworks
• Rich with detailed case studies
• Supplemented by free MIT CISR website resources (cisr.mit.edu)

Ideal for organizations engaged in data literacy training, data-driven transformation, or digital transformation, Data Is Everybody’s Business is the essential guide for helping everybody in the organization—not just the data specialists—understand, get excited about, and participate in data monetization.

Data Is Everybody's Business - From Chapter 8, a call to action

Data Is Everybody's Business - From Chapter 7, four archetypes

Data Is Everybody's Business - From Chapter 7, data monetization strategy

Data Is Everybody's Business - From Chapter 6, data-domain connections

Data Is Everybody's Business - From Chapter 5, what's selling?

Data Is Everybody's Business - From Chapter 4, what's wrapping?

Data Is Everybody's Business - From Chapter 3, data-insight-action

Data Is Everybody's Business - From Chapter 2, data monetization capabilities

Data Is Everybody's Business - From Chapter 1, improve-wrap-sell

Data Is Everybody's Business - From Chapter 1, what is data monetization?

Data Is Everybody's Business - From Chapter 1, who this book is for

Data Is Everybody's Business - From the Foreword, a testimonial from data leaders

Stephanie Woerner reads MIT CISR's November 2019 research briefing, which was authored by Barb Wixom and Killian Farrell. See the text version and related content at https://cisr.mit.edu/publication/2019_1101_DataMonCapsPersist_WixomFarrell.

Abstract: Data monetization—the direct or indirect conversion of data and analytics into financial returns—represents a key source of economic value for companies in the digital economy. This briefing draws on findings from an MIT CISR data monetization survey of 315 executives, sharing insights regarding the current state of data monetization capabilities and their impact on data monetization performance. The briefing explains that data monetization capabilities are evolutionary and specific to the monetization approach, which means that digital leaders must be persistent and purposed as they make capability investments.

Building Data Monetization Capabilities that Pay Off

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A strategic approach to data monetization covering key processes, risks, and organizational shifts needed for success.
Published at: https://www.eckerson.com/articles/unlocking-data-monetization-success

Unlocking Data Monetization Success - Audio Blog

Barb Wixom reads MIT CISR's February 2025 research briefing, which she co-authored with Nick van der Meulen and Cynthia Beath. See the text version and related content at https://cisr.mit.edu/publication/2025_0201_DataMonetizationImpact_vanderMeulenWixomBeath.

Abstract: While organizations generally recognize data’s potential to drive business value, many still struggle to realize substantial financial returns from their data monetization strategies. Beyond selecting a strategy, we identified a more critical differentiator for success: data monetization impact. This briefing explores the strategy-specific practices that enable organizations to achieve this impact on strategic business outcomes, providing guidance for leaders seeking to maximize the return on their investments in data initiatives. 

Maximizing Returns from Data Monetization Strategies

Barb Wixom reads MIT CISR's April 2025 research briefing, which she co-authored with Nick van der Meulen and Cynthia Beath. See the text version and related content at https://cisr.mit.edu/publication/2025_0401_DataProductMindset_WixomVanderMeulenBeath.

Abstract: Today, by adopting a product mindset for data, organizations hold people accountable for the payoff of data investments over time. Data assets and data solutions represent two distinct types of “data products.” Organizations can use three sets of product management practices to more effectively generate returns from their data assets and data solutions: practices for satisfying data consumers, practices for setting prices, and practices for sustaining profits. This briefing illustrates these practices using examples from information businesses.

Shifting to a Product Mindset for Data

All data management activities—whether internally or externally focused—should either reduce costs or grow earnings.
Published at:
https://www.eckerson.com/articles/book-review-how-to-make-money-with-data

Book Review: How to Make Money with Data - Audio Blog

Listen to data and analytics leaders share the secrets of their success. Wayne Eckerson, long-time global thought leader interviews guests who run data and analytics programs at Fortune 2000 organizations around the world. Tune in to stay abreast of the latest technologies, techniques, and trends in our fast-paced industry.

A research center at the MIT Sloan School of Management, MIT CISR helps executives meet the challenge of leading dynamic, global, and information-intensive organizations.

New tracks tagged #datamonetization