April 15-16, 2013
San Francisco
Delivering on the promise of data science
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All level tracks Track 1 sessions are for All Levels
Track 2 sessions are Expert/Practitioner Level


Agenda Overview – San Francisco – April 15-16, 2013
Pre-Conference Workshop: Sunday, April 14, 2013 Room: Salon 5 & 6
Full-day Workshop All level tracks
R for Predictive Modeling: A Hands-On Introduction
Max Kuhn, Director, Nonclinical Statistics, Pfizer

Day 1: Monday, April 15, 2013
8:00-9:00am Registration & Networking Breakfast
Room: Foyer
9:00-9:05am Conference Chair Welcome Remarks
Eric Siegel, Ph.D., Predictive Analytics World
Room: Golden Gate A
9:05-9:20am Diamond Sponsor Presentation
Measure Right, Manage Forward, Make a Difference
Eric Feinberg, ForeSee
Foresee
Room: Golden Gate A
9:20-10:10am
Keynote
The $3m Heritage Health Prize: Results and Conclusions
Anthony Goldbloom, Kaggle
Room: Golden Gate A
10:10-10:40am Exhibits & Morning Coffee Break
Room: Exhibit Hall
10:40-10:50am Gold Sponsor Presentation
The Future of Commerce is Here
Alok Bhanot, Inkiru, Inc
Inkiru
Room: Salon 5 & 6
Gold Sponsor Presentation
Application of innovative
analyticsin business

Guha Athreya, AbsolutData
Absolutdata
Room: Golden Gate A
  Track 1: All Levels Track 2: Expert/Practitioners
10:50-11:35am Social Data
Room: Salon 5 & 6
Financial Services
Room: Golden Gate A
Mapping Social Media to Predict Influence and Measure Propagation All level tracks
Marc Smith, Social Media Research Foundation
Case Study: Scotiabank
Mortgage Liquidation Model Building and Application
Jane Zhong, Scotiabank
Wenlei Shi, Scotiabank
11:40am-12:00pm Survey Analysis
Room: Salon 5 & 6
Uplift Modeling
Room: Golden Gate A
Case Study: Cox Communications All level tracks
Using Analytics to Guide the Creation of Creative for Segment-Targeted Campaigns
Bob Wood, Merkle
Case Study: Intuit
Uplift Modeling - Direct Marketing Case Studies
Madhu Iyer, Intuit
Inna Shapotina, Intuit

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12:05-12:25pm Spam Detection
Room: Salon 5 & 6
Uplift Modeling
Room: Golden Gate A
Case Study: MailChimp.com All level tracks
Monkeys & Math: How MailChimp Catches Bad Guys
John Foreman, MailChimp.com
Case Study: Hewlett-Packard
A Generic Uplift Modeling Framework to Calculate ROI - Application in Promotion Effectiveness
Jyotirmay Nag, Hewlett-Packard

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12:25-1:30pm Lunch
Room: Exhibit Hall
Lunch & Learn
Industrialization of Analytics – Enjoy
the Journey

Pankaj Kulshreshtha, Genpact
David Kreutter, Pfizer
Genpact
Room: Golden Gate A
1:30-2:15pm
Keynote
Analytics and the Presidential Elections
Rayid Ghani, Obama for America
Room: Golden Gate A
2:15-2:30pm Vendor Elevator Pitches
Recommind            
Statsoft   Inkiru    
Room: Golden Gate A
2:35-2:55pm eCommerce Analytics
Room: Salon 5 & 6
Advanced Methods
Room: Golden Gate A
Case Study: Minted.com All level tracks
Mining Customer Behavior
for Targeted Marketing

Jim Porzak, Minted
Anne-Elise Lansdown, Minted
Case Study: Qualcomm
M.A.R.S. - an Underused Modeling Method
Maria Lupetini, Qualcomm Technologies
3:00-3:20pm Analytics Team Building & Management
Case Study: Netflix All level tracks
Building a Data Science Team from Scratch
Chris Pouliot, Netflix
3:20-3:50pm Exhibits & Afternoon Break
Room: Exhibit Hall
3:50-4:10pm Search Engine Marketing
Room: Salon 5 & 6
Insurance / Fraud Detection
Room: Golden Gate A
Case Study: Kelley Blue Book All level tracks
Driving Search Engine Marketing with Deep Analytics
Shawn Hushman, Kelley Blue Book
Case Study: Selective Insurance Group
Strategies and Considerations for Fraud Detection in Insurance Claims
Bob Biermann, Selective Insurance Group
4:15-4:35pm Budgeting & Macroeconomics
Case Study: Hewlett-Packard All level tracks
An Innovative Approach to Hedge Against Macroeconomic Uncertainties Affecting Businesses
Srinidhi Srinivasan, Hewlett-Packard
Keshav Loomb, Hewlett-Packard
Ashish Kumar Singh, Hewlett-Packard
4:40-5:25pm Industry Skills
Room: Salon 5 & 6
Insurance
Room: Golden Gate A
Case Study: Orbitz All level tracks
Delivering on Expectations: Core Competencies for Data Scientists
Sameer Chopra, Orbitz Worldwide
Wenqing Lu, Orbitz Worldwide
Case Study: Broadspire
To Sue or Not to Sue:
Predicting Litigation Risk

Gary Anderberg, Broadspire
Bangalore Gunashakar, Broadspire
Sergo Grigalashvili, Crawford & Company
5:30-7:00pm Networking Reception
Room: Exhibit Hall
7:00-10:00pm Bay Area SAS Users Group Meeting
Room: Golden Gate A
Bay Area useR Group Meeting
Room: Golden Gate B

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Day 2: Tuesday, April 16, 2013
8:00-9:00am Registration & Networking Breakfast
Room: Foyer
9:00-9:05am Conference Chair Welcome Remarks
Eric Siegel, Ph.D., Predictive Analytics World
Room: Golden Gate A
9:05-9:20am Diamond Sponsor Presentation
Transform Your Future with Predictive Analytics
John MacGregor, SAP
SAP
Room: Golden Gate A
9:20-10:10am
Keynote
Putting IBM Watson to Work
Edward Nazarko, IBM
Room: Golden Gate A
10:10-10:40am Exhibits & Morning Coffee Break
Room: Exhibit Hall
10:40-10:50am Gold Sponsor Presentation
Room: Salon 5 & 6
Gold Sponsor Presentation
Applying Predictive Analytics in Real-time

Jaya Kolhatkar, Inkiru, Inc
Inkiru
Room: Golden Gate A
  Track 1: All Levels
Room: Salon 5 & 6
Track 2: Expert/Practitioners
Room: Golden Gate A
10:50-11:10am Industry News Thought Leadership
Using Analytics to Build Your Analytics Bench: Announcing 2012 Analytics Professionals Study ResultsAll level tracks
Greta Roberts, International Institute for Analytics
My Five Predictive Analytics Pet Peeves
Dean Abbott, Abbott Analytics, Inc.
11:15-11:35am Cross-Enterprise Analytics
Room: Salon 5 & 6
Next Best Offer
Room: Golden Gate A
Case Study: Monster WorldwideAll level tracks
Win With Advanced Analytics
Jean-Paul Isson, Monster Worldwide
Case Study:Hewlett-Packard and
WB Mason

Predicting Next Most likely Supplies Purchase Using Multinomial Logit
Avinash Parthasarathy, Hewlett-Packard
11:40-12:00pm Lead Management
Room: Salon 5 & 6
Brand Analytics
Room: Golden Gate A
Case Study: Citrix All level tracks
How Predictive Analytics Changes the Game by Front-Ending the Funnel
Eva Tsai, Citrix
Case Study: Dell
The Illusive Brand: How to Measure Brand and the Communications Focused On It
Natalie Kortum, Dell
12:05-12:25pm Churn Modeling
Case Study: PaychexAll level tracks
Customer Retention:
Pulling the Needle from the Haystack

Frank Fiorille, Paychex, Inc.
12:25-1:30pm Lunch
Room: Exhibit Hall
1:30-1:50pm Platinum Sponsor Presentation
Predicting a fraudulent payment – is it possible?
Josh Ellis, Deloitte Financial Advisory Services LLP
Deloitte
Room: Golden Gate A
1:50-2:35pm Special Plenary Session
General Lessons We Can Learn from Blackbox Trading
Dr. John Elder, Elder Research, Inc.
Room: Golden Gate A
2:40-3:25pm Expert Panel
Big Data for Predictive Analytics
Moderator: Eric Siegel, Ph.D., Predictive Analytics World
Panelists: Satish Lalchand, Deloitte Financial Advisory Services LLP
Anil Kaul, AbsolutData
Eric Feinberg, ForeSee
Room: Golden Gate A
3:25-3:50pm Exhibits & Afternoon Break
Room: Exhibit Hall
3:50-4:10pm Data Visualization
Room: Salon 5 & 6
Likelihood-to-Recommend
Room: Golden Gate A
Case Study: Wells Fargo All level tracks
Data Visualization Design Using Shneiderman's Mantra: Overview First, Zoom and Filter, Then Details-On-Demand
Eric Legrand, Wells Fargo
Dana Zuber, Wells Fargo
Case Study: AAA
Multicollinearity and Sparse Data in Key Driver Analysis: Challenges and Solutions
Noe Tuason, AAA-NCNU
Raymond Reno, Market Strategies International
4:15-4:35pm Insurance & HR Analytics
Case Study: Crawford Global Technical Services
Using Predictive Analytics for Strategic Planning at Crawford GTS
Sergo Grigalashvili, Crawford & Company
Dr. Andries Willemse, Crawford & Company
4:40-5:30pm Data Visualization HR Analytics
Case Study: Blue Shield of California All level tracks
No Country for Fat Men - Investigating Obesity with Visual Analytics
Aaron Lai, Blue Shield of California
Case Study: ConAgra Foods
Aging of the Baby Boomer Generation and the Upcoming Talent Tsunami
KC Bradley, ConAgra Foods
Sara Roberts, ConAgra Foods

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Post-Conference Workshops: Tuesday, April 16, 2013
Full-day Workshop All level tracks
Making Text Mining Work:
Practical Methods and Solutions

Dr. Andrew Fast, Director of Research, Elder Research Inc.
Room: Foothill E
Three Hour Evening Workshop All level tracks
Mapping Groups of People and
What They are Talking About in Social Media

Marc A. Smith, Chief Social Scientist, Connected Action Consulting Group
Room: Foothill E

Post-Conference Workshops: Wednesday, April 17, 2013
Full-day Workshop All level tracks
Supercharging Prediction:
Hands-On with Ensemble Models

Dean Abbott, President, Abbott Analytics, Inc.
Workshop Sponsored by:
Room: Pacific B
Full-day Workshop All level tracks
The Best and the Worst of Predictive Analytics: Predictive Modeling Methods and Common Data Mining Mistakes
Dr. John Elder, CEO & Founder, Elder Research, Inc
Room: Pacific H

Post-Conference Workshop: Thursday, April 18, 2013
Full-day Workshop All level tracks
Advanced Methods Hands-on: Predictive Modeling Techniques
Dean Abbott, President, Abbott Analytics
Workshop Sponsored by:
Room: Club Room

Post-Conference Workshop: Friday, April 19 and Saturday, April 20, 2013
One and a Half Day Workshop All level tracks
Net Lift Models: Optimizing the Impact of Your Marketing
Kim Larsen, Vice President of Analytical Insights, MarketShare
Room: Foothill D
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