Archive for March, 2012

March 28th 2012

Workshops for Users of All Levels at PAW Toronto – Learn More

Sharpen Your Skills and Broaden Your Expertise
with Full Day Analytics Workshops

Predictive Analytics World focuses on concrete examples of deployed predictive analytics. Hear from the horse's mouth precisely how Fortune 500 analytics competitors and other top practitioners deploy predictive modeling, and what kind of business impact it delivers.

PAW Toronto Workshops:

Monday, April 23 Tuesday, April 24
R for Predictive Modeling:
A Hands-On Introduction

Full- day: 9:00am–4:30pm
Modeling Methods: The Best and
the Worst of Predictive Analytics

Full- day: 9:00am–4:30pm
Gain experience driving R for predictive modeling across real examples and data sets. Survey the pertinent modeling packages. The key inner workings of leading algorithms, case studies demonstrating their performance and comparison of merits.
Max Kuhn Max Kuhn
Director, Nonclinical Statistics
John Elder John Elder, Ph.D.
CEO and Founder
Elder Research


Friday, April 27 On–Demand
Advanced Methods Hands-on:
Predictive Modeling Techniques

Full- day: 8:45am–4:30pm
Predictive Analytics Applied –
An Online Introduction

Online 5 ½-hour training program
on demand
Dive in hands-on employing the key predictive analytics algorithms, and gain experience with leading software. New to predictive analytics? Take this online course instructed by the chair of PAW to ramp up before the conference. On-demand access at any time.
Dean Abbott Dean Abbott
Abbott Analytics
Sponsored by:
StatSoft Logo
Eric Siegel Eric Siegel Ph.D.
Conference Chair
Predictive Analytics World

Predictive Analytic World's agenda covers hot topics and advanced methods such as:

Agile Analytics
Behavior-based Advertising
Blackbox Trading
Branch Location Assessment
Churn Modeling
Clinical Healthcare
Cloud Analytics
Crowdsourcing Predictive Analytics
Econometric Indicators
Education Applications
Enterprise-wide Analytics Forecasting
HR Analytics
List Sourcing
Online Marketing
Real Estate Market Scoring
Risk Management
Social Data
Sports Analytics
Targeting Direct Marketing
Uplift Modeling

With PAW Toronto less than a month away, time is running out. Register today and realize a savings of up to $100 off the onsite price.

Note: Bring the team and realize additional savings. Each additional attendee from the same company registered at the same time receives an extra $200 off the Conference Pass.

To register go here

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March 27th 2012

The Latest Techniques and Most Advanced Methods at PAW Chicago

The Latest Techniques and Most Advanced Methods
View full agenda and topics online now

Join your peers June 25-26, 2012 in Chicago for Predictive Analytics World, the business event covering today's commercial deployment of predictive analytics across industries and across software vendors.

PAW Chicago's agenda highlights include:

Eric Siegel
Eric Siegel
Program Chair
Predictive Analytics World
Persuasion by the Numbers: Optimize Marketing Influence by Predicting It
Bruno Aziza
Bruno Aziza
Director, Worldwide Strategy Lead, Business Intelligence
Predictive Analytics and Business Performance
Roger Craig
Roger Craig
Analytical Jeopardy! Winner,
and CEO, Cotinga
Predictive Analytics For the Win: Data Science Meets the Quiz Show Jeopardy!

Plus a special plenary session from industry heavy-weight:

John Elder
John Elder
CEO & Founder
Elder Research, Inc.
Becoming an Ace with a Robot as your Wingman

Full day pre– and post– conference workshops:

Topics covering black box trading, churn modeling, crowdsourcing, demand forecasting, ensemble models, fraud detection, healthcare, insurance applications, law enforcement, litigation, market mix modeling, mobile analytics, online marketing, risk management, social data, supply chain management, targeting direct marketing, uplift modeling (net lift), and other innovative applications that benefit organizations in new and creative ways

Dive deeper into the agenda and discover the high caliber of speakers and top content featured at PAW Chicago – view the agenda.

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March 21st 2012

Experts Reveal Their Success Tips at PAW Toronto

Adobe, Alberta Motor Association, Capital One, CIBC, Crawford, IBM, Pfizer, Seer Solutions, and Verizon Wireless are just a few of the many organizations who will be presenting how predictive analytics was applied by their organization at Predictive Analytics World Toronto April 25-26, 2012.

Learn from the best and brightest in the industry with PAW Toronto's all-star speaker lineup, including:

Ozgur Cetiner Ozgur Cetiner, Director of Statistical Analysis, Capital One Canada


John Elder John Elder, CEO & Founder, Elder Research, Inc.


Sergo Grigalashvili Sergo Grigalashvili, Vice President of Architecture, Analytics, Crawford & Company


Piyanka Jain Piyanka Jain, CEO, & Former PayPal Business Analytics Head


Max Kuhn Max Kuhn, Director of Nonclinical Statistics, Pfizer


Daymond Ling Daymond Ling, Senior Director of Modeling & Analytics, CIBC


Edward Nazarko Edward Nazarko, Client Technical Advisor, IBM


Leonard Roseman Leonard Roseman, VP of Statistics in Consumer Credit Risk Management & the Deputy Chief Scoring Officer, Capital One Financial


Eric Siegel Eric Siegel, Program Chair, Predictive Analytics World

Dive deeper into the content by reviewing our agenda-at-a-glance and by viewing the entire speaker lineup.

Register Today!
Transform your predictive analytics strategy by registering for PAW Toronto before it's too late.

Don't Forget – The Bring the Team Offer
Each additional attendee from the same company registered at the same time receives an extra $100 off the Two Day Pass.

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March 20th 2012

PAW-Gov 2012 Call for Speakers and Save the Date


Predictive Analytics World for Government:
September 17-18, 2012 in Washington, DC

Speaker proposals are now being accepted for the 2nd Annual PAW-Gov conference:

Speaker proposal deadline: April 30, 2012
Venue: The Ronald Reagan Building

Predictive Analytics World for Government, the leading vendor-neutral analytics conference for government, is holding its second annual conference this September 17-18 in Washington, DC. Predictive Analytics World for Government ( is designed to help agency managers understand how they can apply predictive analytics to more effectively and efficiently accomplish their mission.

Last year, with over 250 attendees, PAW-Gov featured government-leading analytics speakers present real-world case studies from over 15 government agencies including the Department of Defense, Internal Revenue Service, U.S. Postal Service, Department of Agriculture, Department of Justice, National Security Agency, Social Security Administration, Department of Homeland Security, NASA, and the Richmond Police Department.

PAW-Gov 2011 Keynote Speakers:

Darrell Issa
Congressman Darrell Issa
House Committee on Oversight
and Government Reform
Eric Devaney
Earl Devaney
Recovery Accountability
and Transparency Board
John F. Elder, CEO and Founder, Elder Research
David Williams
Inspector General
John F. Elder, CEO and Founder, Elder Research
John F. Elder
CEO, Elder Research, Inc.,
and General Chair,

PAW-Gov In The News:
See the Federal Times article about last year's Predictive Analytics World for Government including interviews with several speakers from the inaugural conference: Software that predicts the future: Does it really help?

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.

Case Studies
PAW-GOV showcases case studies from application areas of predictive analytics in the Public Sector including:

Accountability Analytics:

  • Detecting Fraud, Waste, and Abuse – predicting high-risk cases for investigation or audit
  • Preventing Improper Payments – predicting improper payments to be reviewed pre-payment
  • Audit Analytics – focusing audits on high-risk program areas
  • Complaint/Hotline Triage – categorizing and prioritizing important complaints and tips

Operational Analytics:

  • Mission Analytics – improving agency service, performance, or operations
  • Claims Processing – reducing backlog by semi-automating claims processing
  • Workforce Analytics / Human Resources Analytics – predicting workforce attrition and future needs
  • Portfolio Analytics – forecasting loans and grants
  • Business Intelligence – monitoring and predicting agency key performance indicators and metrics

National Security / Law Enforcement Analytics:

  • Cyber Security – detecting cyber threats and intrusions
  • Crime Prediction – detecting criminal patterns or activities
  • Intelligence Analytics – detecting terrorist activities
  • Text Mining / Unstructured Data – uncovering actionable information in unstructured data
  • Social Networking Analytics – investigating fraud and predicting events and public responses from Twitter and Facebook data

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 and Project 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 Examiners
  • Management Analysts
  • Performance Analysts
  • Appointed Officials
  • Government contractors and consultants
  • Private sector leaders interested in helping government use data to make better decisions

Register Now!

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