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Predictive Analytics World for Government

October 13, 2015 @ 8:00 am - October 16, 2015 @ 5:00 pm

Predictive Analytics World for Government (PAWGOV) is the premier event designed to help government agency managers understand how to apply modern predictive modeling technologies to more effectively and efficiently accomplish their mission.

PAWGOV 2015 provides the forum for government agencies to share their experiences, challenges, and successes with building a data-driven environment. It is the perfect learning environment for agencies that are just beginning to plan or execute their journey into analytics.

We invite you to join over 300 fellow enthusiasts from government (U.S. and foreign), industry, academia, nonprofits, and the press to learn the impact that analytics can deliver. Previous PAWGOV events have showcased case studies from application areas of predictive analytics in the Public Sector including:

  • Big Data
  • Improper Payment Prevention & Recovery
  • Fraud Detection
  • Audit Data Analytics
  • Healthcare Analytics and Informatics
  • Decision Support
  • Population Projection
  • Tax and Revenue Collection
  • Detecting Identity Theft
  • Risk Management Analytics
  • Grant Oversight Analytics
  • Quantitative Stock Trading
  • Detecting Insider Trading
  • Text Analytics / Unstructured Data Analysis

In addition to the great exchange of information the event sessions provide, you will have ample opportunity to network with fellow professionals, earn 6 hours of continuing professional education (CPE) credits per day, and speak one-on-one with today’s top vendors specializing in analytics and visualization technologies.

Join us at PAW Gov, October 13-16, 2015, in Washington, D.C., to be a part of the expanding group of experts interested in helping government work smarter through the power of analytics.

Register here


October 13, 2015 @ 8:00 am
October 16, 2015 @ 5:00 pm


More Information on Predictive Analysis Process

Predictive Analytics Process Flow

For more information of predictive analytics process, please review the overview of each components in the predictive analytics process: data collection (data mining), data analysis, statistical analysis, predictive modeling and predictive model deployment.

Top predictive analytics software and Top predictive analytics open source software.

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