Overview

A clear, engaging, evidence-based guide to monetizing data, for everyone from employee to board member. 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.

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9780262048217

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Reviews

"Included in Forbes's Top 10 Tech Books Of 2023   ""The authors, leaders at MIT Sloan Center for Information Systems Research and UT Austin’s McCombs School of Business, provide a guide to help people across organizations (not just on data teams) think more expansively about how to turn data into money. Covering approaches such as wrapping products with data and selling broader information offerings, show how leaders can drive positive outcomes and generate excitement around new data opportunities."" —Forbes"

"Included in Forbes's Top 10 Tech Books Of 2023   ""The authors, leaders at MIT Sloan Center for Information Systems Research and UT Austin’s McCombs School of Business, provide a guide to help people across organizations (not just on data teams) think more expansively about how to turn data into money. Covering approaches such as wrapping products with data and selling broader information offerings, show how leaders can drive positive outcomes and generate excitement around new data opportunities."" —Forbes ""This book will change the way readers think about data across an organization. The authors' frameworks and operational elements turn data into resources that can be used across the breadth and depth of the organization. Everyone can innovate using these newly imagined tools...Highly recommended. All readership levels.” —Choice"

Author Information

Barbara H. Wixom is Principal Research Scientist at the MIT Sloan Center for Information Systems Research (MIT CISR), founder of the MIT CISR Data Research Advisory Board, and faculty director for the MIT Sloan online short course Data Monetization Strategy. Cynthia M. Beath is Professor Emerita at the McCombs School of Business, University of Texas at Austin. Before embarking on her academic career, she worked in private industry in several information systems development and consulting positions. Leslie Owens is the former Executive Director of MIT CISR and Senior Lecturer at the MIT Sloan School of Management. Previously she was Vice President and Research Director at Forrester Research, and a manager at Abbott.

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