Predictive Analytics World Conference: Agenda At a Glance

Pre-Conference Workshop: Sunday, June 24, 2012
Half-day Workshop	Full-day Workshop
JMP, R, and SAS: the Beauty of Multiple Paradigms Matthew J. Flynn, Director of Claims Research, Travelers Insurance Sponsored by:	Making Information Strategic with Business Analytics: From Strategy down to Data Source Gert H. N. Laursen, Head of Customer Intelligence and Information Management, Maersk Line

DAY 1: Monday, June 25, 2012
8:00-9:00am	Registration & Breakfast
9:00-9:45am	Keynote Persuasion by the Numbers: Optimize Marketing Influence by Predicting It Eric Siegel, Program Chair, Predictive Analytics World
9:45-10:05am	Platinum Sponsor Presentation
10:05-10:15am	Gold Sponsor Presentation
10:15-10:40am	Breaks / Exhibits
	Track 1: All Levels	Track 2: Expert/Practitioners
10:40-11:00am		Fraud Detection
	Coming Soon!	Case Study: USPS Office of Inspector General Fraud Detection: Fraught with Frightful Modeling Hurdles Antonia de Medinaceli, Elder Research, Inc.
11:05-11:25am	Public Sector	Segment Analysis
		Case Study: MTV Networks Predictive Social Marketing – Sentiment Forecasting and Impact on Success John Bates, Adobe
	Case Study: City of Chicago Lessons from Year One: Predictive Analytics in Government Brett Goldstein, City of Chicago
11:30am-12:15pm	Expert Panel Wise Enterprise: Best Practices for Managing Predictive Analytics Expert Panelists Coming Soon!
12:15-12:25pm	Gold Sponsor Presentation
12:25-12:40pm	Lightning Round of 2-Minute Sponsor Presentations
12:40-1:40pm	Lunch / Exhibits Lunch Sponsored by:
1:40-2:25pm	Special Plenary Session Multiple Case Studies: Anheuser-Busch, the SSA, Netflix Data Mining Lessons Learned - Technical & Business - From Applied Projects John Elder, CEO & Founder, Elder Research, Inc.
2:25-2:45pm	Platinum Sponsor Presentation
	Track 1: All Levels	Track 2: Expert/Practitioners
2:50-3:10pm	Crowdsourcing Predictive Analytics	Social Media Analytics
	Case Study: Allstate & Wikipedia Crowdsourcing Predictive Analytics: Why 25,000 Heads Are Better Than One Karthik Sethuraman, Kaggle	Case Study: Topsy Labs Leveraging Social Media to Identify Predictive Behaviors Rishab Ghosh, Topsy Labs
3:15-3:35pm	Market Research	Social Data; Text Analytics
	Case Study: Microsoft Combining Customer Behavior & Attitudes – Newer Ways to Gather Data, Leverage Analytics & Take Smarter Product & Marketing Decisions Jeff Ahlquist, Microsoft Puneet Piplani, Mu Sigma	Case Study: British Broadcasting Company Data Mining for Social Moderation Mark Tabladillo & Paco Gonzalez, SolidQ
3:40-4:00pm	Sponsored Lab	Social Data for Financial Indicators
	Sponsored Lab: Live Topical Demo	Case Study: AlphaGenius Sentiment Investing - Above Market Returns Extracting & Analyzing Twitter & the Social Internet Randy Saaf, AlphaGenius
4:00-4:35pm	Breaks / Exhibits
	Track 1: All Levels	Track 2: Expert/Practitioners
4:35-4:55pm	Customer Retention; Financial Services
	Case Study: Paychex Combat Client Churn with Predictive Analytics Frank Fiorille, Paychex, Inc.	Case Study: Travelers Insurance Insurance and R Matthew Flynn, Travelers Insurance
5:00-5:20pm	Enterprise-Wide Decisioning; Financial Services	Insurance & Big data
	Case Study: Western Union Test & Learn: The Cost Effective Crystal Ball! Clay Duan, Western Union	Case Study: Allstate A Brave New World - Predictive Model Development with Hadoop, Rhadoop, & R Rick Bischoff, Predictive Modeling, Joe Kleinhenz, Big Data Analytics & Mark Slusar, Allstate
5:25-5:45pm	Blackbox Trading	Advanced Predictive Modeling Methods
	*Case Study: Rebellion Research* Improving Stock Prediction Using Universal Artificial Intelligence Jeremy Newton, Rebellion Research	Case Study: Nielson & a financial services enterprise Finding Consumers More Accurately and Actionably Using Data Mining Tools Dimitar Antov, The Nielsen Company
5:50-6:10pm	Telecommunications	Analytical Traction
	Case Study: Telenor Denmark Making a company turnaround in FMCG industry Gert Laursen, Maersk Line	Case Study: Interclick What is the Analytic Maturity of Your Company and How Can You Improve It? Robert Grossman, Open Data Group & the University of Chicago
6:10-7:30pm	Reception / Exhibits

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Conference Day 2: Tuesday, June 26, 2012
8:00-9:00am	Registration & Breakfast
9:00-9:45am	Keynote Predictive Analytics and Business Performance Bruno Aziza, Director of Worldwide Strategy Lead in Business Intelligence, Microsoft
9:45-10:00am	Platinum Sponsor Presentation
10:00-10:05am	Gold Sponsor Presentation
10:05-10:15am	Gold Sponsor Presentation
10:15-10:45am	Breaks / Exhibits
	Track 1: All Levels	Track 2: Expert/Practitioners
	Thought Leadership	Telecommunications
10:45-11:05am	Business Friendly Data Mining James Taylor, Decision Management Solutions	Case Study: Nokia-Siemens Networks Understanding Mobile User Outages: Predictive Analytics in Wireless Broadband Networks Shirish Nagaraj, R&D Engineering Manager & Kashyap Kamdar, Nokia-Siemens Networks
	Track 1: All Levels	Track 2: Expert/Practitioners
11:05-11:25am	Text Analytics	HR Analytics
	Cross-Language Text Analytics: Overcoming Language Barriers Meta Brown, LinguaSys	Case Study: U.S. Special Forces Hiring and Selecting Key Personnel Using Predictive Analytics Dean Abbott, Abbott Analytics


11:30am-12:15pm	Sponsored Lab	Sponsored Lab
11:30am-12:15pm	Lab Session: Live Topical Demo	Lab Session: Live Topical Demo
12:15-1:20pm	Lunch / Exhibits
1:20-2:05pm	Keynote Predictive Analytics For the Win: Data Science Meets the Quiz Show Jeopardy! Roger Craig, Analytical Jeopardy! Winner & CEO, Cotinga
2:05-2:10pm	Lightning Round of 2-Minute Sponsor Presentations
2:10-2:30pm	Gold Sponsor Presentation
	Track 1: All Levels	Track 2: Expert/Practitioners
2:35-2:55pm	HR Analytics	Healthcare Analytics
2:35-2:55pm	Case Study: Hewlett-Packard An Innovative Approach to Analyze Employee Satisfaction Response in Light of Customer Satisfaction Response Jyotirmay Nag, Hewlett-Packard	Case Study: Pfizer Right Medicine, Right Patient Max Kuhn, Pfizer
3:00-3:20pm	Workplace Behavior Modeling; Enterprise Dynamics	Telecommunications
3:00-3:20pm	Modeling Project Leaders' Perceptions of Their Clients David Perkins, Grand Canyon University	Case Study: Accenture Next Generation Mobile Analytics - Combining the Power of Real Time Data with Predictive Analytics MeiMei Lim, Accenture
3:20-3:55pm	Breaks / Exhibits
	Track 1: All Levels	Track 2: Expert/Practitioners
3:55-4:15pm	Financial Services	Data Visualizations
3:55-4:15pm	Case Study: Silicon Valley Bank Advanced Analytics inside the Banking Industry Kirtida Parikh, Silicon Valley Bank	Case Study: eBay Experimentation - From visual data exploration to decisions Vijay Madhavan, eBay Inc.
4:20-4:40pm	Targeting Marketing	Customer Retention
4:20-4:40pm	Case Study: Microsoft Getting Management to Act on Driver Models Marco Vriens, The Modellers LLC	Case Study: Hewlett-Packard Modeling Consumer Attrition in a Non-Contractual Setting Pranjal Mallick & Sweta Agrawal, Hewlett-Packard
4:45-5:05pm	Targeting Marketing	Real Estate Market Scoring
4:45-5:05pm	Case Study: Large Movie Studio Using Big Data to Optimize and Predict Opening Week at the Box Office Bart Flaherty & Anthony Miyake, GroupM Business Science	Case Study: Altos Research There & Back Again: Model Interpretability in Real Estate Market Scoring Ben Gimpert, Altos Research
5:10-5:30pm	Reliability Modeling	Forecasting (Per-Product); Retail
5:10-5:30pm	Case Study: TTX (leading railway company) Predicting Wheel Failure Rate for Railcars Mahesh Kumar, Tiger Analytics	Case Study: A Top Global Retailer Broad Scale Predictive Modeling Optimization in Marketing and Retail Sales Felipe Fernandez, Interefe (Brazil)

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Post-Conference Workshop: Wednesday, June 27, 2012
Full-day Workshop	Full-day Workshop
The Best & the Worst of Predictive Analytics: Predictive Modeling Methods & Common Data Mining Mistakes John Elder, CEO & Founder, Elder Research, Inc	R for Predictive Modeling: A Hands-On Introduction Max Kuhn, Director, Nonclinical Statistics, Pfizer

Pre-Conference Workshop: Thursday, June 28, 2012
Full-day Workshop
Advanced Methods Hands-on: Predictive Modeling Techniques Dean Abbott, President, Abbott Analytics Sponsored by:

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