In their new book, Big Data Revolution: What Farmers, Doctors and Insurance Agents Teach Us About Discovering Big Data Patterns, authors Rob Thomas and Patrick McSharry examine what it takes to turn the rapidly increasing amount of data at companies’ disposal into actual business improvements. Thomas, vice president of product development for big data and information management at IBM, and McSharry, senior research fellow at the Smith School of Enterprise and the Environment at Oxford University, provide a detailed look at how data is transforming different industries and distill these stories into an overview of the methods used to derive insights from data. The authors argue that companies who fail to adopt these methods will be overtaken by more data-savvy competitors and offer organizations a strategy for successfully operationalizing these ideas, such as by closely linking data analysis and decisionmaking.
Big Data Revolution: What Farmers, Doctors and Insurance Agents Teach Us About Discovering Big Data Patterns
Joshua New was a senior policy analyst at the Center for Data Innovation. He has a background in government affairs, policy, and communication. Prior to joining the Center for Data Innovation, Joshua graduated from American University with degrees in C.L.E.G. (Communication, Legal Institutions, Economics, and Government) and Public Communication. His research focuses on methods of promoting innovative and emerging technologies as a means of improving the economy and quality of life.
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