Everywhere you look there is mention of “Big Data.” But what business people care most about is turning big data into big profits. This is the focus of Russell Walker’s book From Big Data to Big Profits: Success with Data and Analytics. Walker examines the evolving nature of big data and how businesses can leverage it to create new monetization opportunities. Professor Walker looks at companies that are using big data to drive profits, including Uber, Netflix, Google, LinkedIn, Zillow, and Amazon. He explores how digital platforms, including mobile apps and social networks, are changing customer interactions and expectations. He also provides a framework for assessing big data readiness for getting the most from big data.
On March 3, in a complimentary, live and interactive Harvard Business Review webinar, Dr. Walker will share insights and case studies from his new book and discuss the following:
If your company has a wealth of data, is interested in doing more with Big Data, but is most interested in turning data into profits, join Russell Walker and HBR on March 3, 2016. REGISTER HERE
About Russell Walker, Ph.D.
Professor Russell Walker helps companies develop strategies to manage risk and harness value through analytics and Big Data. He is Clinical Associate Professor of Managerial Economics and Decision Sciences at the Kellogg School of Management of Northwestern University.
About From Big Data to Big Profits (Oxford, 2015), Thomas H. Davenport, Distinguished Professor of IT and Management at Babson College, said, “Russell Walker’s important book is not just about Big Data, but how to monetize all your data. It’s an essential guide to competing in the data economy and developing analytics-based products and services.”
Dr. Walker is also the author of Winning with Risk Management (2013). Russell Walker consults with firms on the topics of Big Data and Analytics, Risk Management, and International Business Strategy. He holds an MBA from the Kellogg School of Management and an MS and Ph.D. from Cornell University
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