In his book, Big Data Baseball: Math, Miracles, and the End of a 20-Year Losing Streak, sports reporter Travis Sawchik explores the data-driven strategies that helped the cash-strapped 2013 Pittsburgh Pirates end a twenty-year long losing streak. Sawchik explains the technologies the Pirates used to collect millions of datapoints on every play to figure out how they could win more games without spending more money, leading the team to finish in second place in the 2013 season. The data-driven strategies outlined in Sawchik’s book apply statistical methods similar to the unprecedented evidence- and analytics-based approach of the 2002 Oakland Athletics, of Moneyball fame, but with contemporary technologies.
Big Data Baseball: Math, Miracles, and the End of a 20-Year Losing Streak
Joshua New is 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. Follow Joshua on Twitter @Josh_A_New.
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