Case Study: University of Chicago achieves faster political data analysis with Revolution Analytics

Political Scientist Gets Inside the Minds of the GOP with Revolution R Enterprise

The University of Chicago’s Harris School of Public Policy Studies, through assistant professor Boris Shor, needed a way to rapidly sort and analyze large sets of survey and voting data to measure ideology across state legislatures. Using Revolution Analytics’ Revolution R Enterprise for 64-bit Windows, Shor sought to build a program that could handle data sets previously too large and slow to process.

Revolution Analytics’ Revolution R Enterprise for 64-bit Windows enabled Shor to run these analyses with far greater speed and memory capacity, often processing data overnight and making comparisons that had not been practical before. The approach helped him predict political outcomes, including correctly forecasting that Scott Brown would vote with Democrats in Washington, and allowed faster, more detailed ideological analysis than conventional methods.

University of Chicago