September 12 - 13, 2011    Washington DC , Estados Unidos
Predictive Analytics World for Government, September 12-13 in Washington, DC (, is the first vendor-neutral predictive analytics conference for the government, designed to help agency managers understand how they can apply predictive analytics to more effectively and efficiently accomplish their mission.

Predictive Analytics World for Government delivers predictive analytics experts, practitioners, authors and business thought leaders, including keynote addresses from Predictive Analytics World for Government Conference Chair John Elder, Chief Scientist and CEO of Elder Research and award-winning analytics author, and Earl Devaney, Chairman of the Recovery Accountability and Transparency Board, plus a special featured session from David Williams, Inspector General of USPS.

Case Studies: How the Leading Agencies Do It

Predictive Analytics World for Government focuses on concrete examples of deployed predictive analytics. The leading agencies have signed up to tell their stories, so you can hear from the horse's mouth precisely how Federal, State, and Local analytics competitors and other top practitioners deploy predictive modeling, and what kind of business impact it delivers.

This conference’s inaugural program features case studies from Federal, State, and Local agencies so you can witness how predictive analytics is applied by:

Department of Justice, USDA Risk Management Agency, USDA Food Safety and Inspection Service, U.S. Postal Service Office of Inspector General, Department of Treasury, Department of Defense, National Security Agency, New South Wales Department of Transportation, Mexico Tax Administration Service, NASA, and Defense Finance and Accounting Service.


Location: Ronald Reagan Building and International Trade Center
The Ronald Reagan Building and International Trade Center facility brings together federal, state and regional trade resources, international trade related businesses and services to convey the United..
Contact 1300 Pennsylvania Avenue, NW , D.C. 20004 Washington , USA
+1 (202) 312 1300

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