The Democratic National Committee leveraged big data analytics to better understand and predict voter behavior and alliances in the 2012 U.S. national elections.
To learn more about how the DNC pulled vast amounts of data together to predict and understand voter preferences and positions on the issues, join Chris Wegrzyn, Director of Data Architecture at the DNC, based in Washington, DC.
The discussion is moderated by Dana Gardner, Principal Analyst at Interarbor Solutions.