About the Contributors

SCOTT BERINATO is a senior editor at Harvard Business Review and the author of Good Charts Workbook: Tips, Tools, and Exercises for Making Better Data Visualizations (Harvard Business Review Press, 2019) and Good Charts: The HBR Guide to Making Smarter, More Persuasive Data Visualizations (Harvard Business Review Press, 2016).

NICHOLAS BLOOM is the William Eberle Professor of Economics at Stanford University and a codirector of the Productivity, Innovation and Entrepreneurship program at the National Bureau of Economic Research.

HUGO BOWNE-ANDERSON, PHD, is a data scientist and educator at DataCamp, as well as the host of the podcast DataFramed. Follow him on Twitter @hugobowne.

TOBIAS BRANDT is assistant professor of Business Information Management at Erasmus University’s Rotterdam School of Management in the Netherlands.

SUSAN CANTRELL is a senior researcher and writer for Accenture.

ERIC COLSON is chief algorithms officer at Stitch Fix. Prior to that he was vice president of Data Science and Engineering at Netflix. Follow him on Twitter @ericcolson.

THOMAS H. DAVENPORT is the President’s Distinguished Professor in Management and Information Technology at Babson College, a research fellow at the MIT Initiative on the Digital Economy, and a senior adviser at Deloitte Analytics. He is the author of over a dozen management books, most recently Only Humans Need Apply: Winners and Losers in the Age of Smart Machines and The AI Advantage.

EDWARD L. GLAESER is the Fred and Eleanor Glimp Professor of Economics at Harvard.

NIKLAS GOBY is a data scientist at ZF, a global automotive supplier based in Friedrichshafen, Germany, and a PhD candidate at the University of Freiburg, also in Germany.

HYUNJIN KIM is a doctoral candidate in the strategy unit at Harvard Business School. Her research explores how organizations can improve strategic decision making and productivity in the digital economy.

CASSIE KOZYRKOV is the chief decision scientist at Google.

CHRIS LITTLEWOOD is the chief innovation and product officer of filtered.com, an edtech company that uses AI to lift productivity by making learning recommendations. Follow him on Twitter @filtered_chris.

MICHAEL LUCA is the Lee J. Styslinger III Associate Professor of Business Administration at Harvard Business School and a coauthor (with Max Bazerman) of The Power of Experiments: Decision Making in a Data-Driven World.

DIRK NEUMANN is a professor and chair of Information Systems Research at the University of Freiburg, Germany.

NICOLA PIERRI is a PhD candidate at Stanford University.

THOMAS C. REDMAN, “the Data Doc,” is president of Data Quality Solutions. He helps companies and people, including startups, multinationals, executives, and leaders at all levels, chart their courses to data-driven futures. He places special emphasis on quality, analytics, and organizational capabilities.

EVA SAGE-GAVIN leads Accenture’s Talent & Organization practice.

ERIC SIEGEL, PHD, is the founder of the Predictive Analytics World and Deep Learning World conference series and executive editor of The Predictive Analytics Times. He is the author of the award-winning book Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, the host of The Dr. Data Show web series, a former Columbia University professor, and a renowned speaker, educator, and leader in the field. Follow him on Twitter @predictanalytic.

JOEL SHAPIRO, JD, PHD, is clinical associate professor and executive director of the program on data analytics at Northwestern’s Kellogg School of Management.

ELLYN SHOOK is chief leadership and human resources officer for Accenture.

DAVE SUTTON is president and CEO at TopRight, an Atlanta-based strategic marketing firm that serves Global 2000 companies. He’s also the author of Marketing, Interrupted.

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