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Thanks for attending Predictive Analytics World
for Government 2013,
we can't wait to see you again in 2014.

Even though the conference is over, doesn't mean the networking is. Follow the hashtag #PAWGov to stay connected.


PAW GOV 2012 Washington, DC

Predictive Analytics World for Government's 3rd Annual Conference: September 18-19, 2013 in Washington, DC

Predictive Analytics World for Government is the largest and only vendor-neutral analytics conference for government. We are holding our third annual conference this September 18-19 in Washington, DC at the Ronald Reagan Building.

Keynote Speakers:
Congressman Darrell Issa
Congressman Darrell Issa
Chairman, House Committee on Oversight and Government Reform
U.S. House of Representatives
The Digital Accountability and Transparency Act
Mr. David Williams
Mr. David Williams
Inspector General
U.S. Postal Service
The Path of the Digital Arrow
John F. Elder, CEO and Founder, Elder Research
Mr. Gene Dodaro
U.S. Comptroller General
Government Accountability Office
Data Analytics for Government Oversight
Kelly Gent
Data Analytics and Control Group,
Center for Program Integrity,
Centers for Medicare and Medicaid Services
Predictive Analytics in Medicare

Plus a special plenary session from industry heavy-weight:

Dr. John Elder
Dr. John Elder
CEO & Founder
Elder Research, Inc.
Lessons We Can Learn From Quantitative Stock Trading
Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die


Predictive Analytics World for Government (PAWGOV) is a practically-focused conference that highlights case studies of how government agencies are currently using data analytics to solve real world problems.

Last year, PAWGOV doubled in size to over 400 participants and we expect PAWGOV2013 to top 500 participants this September.

  • Department of Treasury
  • Securities and Exchange Commission (SEC)
  • Internal Revenue Service (IRS)
  • Recovery Accountability and Transparency Board (RATB)
  • U.S. Postal Service (USPS)
  • National Science Foundation (NSF)
  • Department of Veterans Affairs (VA)
  • U.S. Navy
  • U.S. Army
  • Department of Defense (DOD)
  • U.S. Secret Service
  • U.S. Census Bureau
  • U.S. House of Representatives
  • Bill and Melinda Gates Foundation
  • State of Michigan

What is Predictive Analytics?
Predictive analytics is the process of discovering patterns in past behavior to predict the outcome of future cases. Drawing on a combination of computer science, statistics, and operations research, predictive analytics reduces fraud, waste, and abuse, automates manual processes, and drives smarter decisions by extracting actionable insights from the vast quantities of data within government agencies.

Who Should Attend?
Predictive Analytics World for Government is for Federal, State, and Local government leaders, analysts, and program managers including:

  • CXO's, including CFOs, CIOs, CTOs, CHCOs
  • Directors
  • Technology Leadership and IT Specialists
  • Program Managers
  • Acquisition Leaders and Specialists
  • Human Capital Leadership and Specialists
  • Law Enforcement Agents and Managers
  • Inspector General Staff and Leadership
  • Auditor and Audit Managers
  • Forensic/Fraud Examiners
  • Management Analysts
  • Performance Analysts
  • Data Scientists and Analysts
  • Government contractors and consultants
  • Private sector leaders interested in helping government use data to make better decisions

Who's Attending?

Conference Case Studies
PAWGOV is designed to help agency managers understand how they can apply predictive analytics to more effectively and efficiently accomplish their mission. Last year over 400 of your peers and leading government experts on data analytics gathered at PAWGOV to connect, share best practices, and learn from real-word case studies. This year's agenda will focus on the following application areas of data analytics:

  • Big Data
  • Improper Payment Prevention & Recovery
  • Fraud Detection
  • Audit Data Analytics
  • Healthcare Analytics and Informatics
  • Decision Support
  • Overcoming Obstacles to Implementing Analytics
  • 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

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