Track 1 sessions are for all levels.
Track 2 sessions are expert/practitioner level.
| Pre-Conference Workshops: Monday October 18, 2010 | |
Driving Enterprise Decisions with Business Analytics and Business Rules James Taylor, CEO, Decision Management Solutions |
Hands-On Predictive Analytics Dean Abbott, President, Abbott Analytics |
| DAY 1: Tuesday October 19, 2010 | ||
| 8:00am-9:00am | Registration & Continental Breakfast |
|
| 9:00am-9:50am |
Keynote Five Ways Predictive Analytics Cuts Enterprise Risk Eric Siegel, Ph.D., Program Chair, Predictive Analytics World |
|
| 9:50am-10:10am | Platinum Sponsor Presentation | |
| 10:10am-10:20am | Gold Sponsor Presentation | |
| 10:20am-10:35am | Break / Exhibits |
|
| Track 1: Business Value | Track 2: Survey Analysis | |
| 10:35am-11:25am |
Case Study: Monster.com
Creating Global Competitive Power with Predictive Analytics Jean Paul Isson, Monster Worldwide |
Case Study: YMCA Turning Member Satisfaction Surveys into an Actionable Narrative Dean Abbott, Abbott Analytics & Bill Lazarus, Seer Analytics, LLC (Also see Mr. Abbott's full-day workshop) |
| 11:25am-11:35pm |
Industry Trends 2010 Data Miner Survey Results: Highlights Karl Rexer, Ph.D., Rexer Analytics |
|
| 11:35am-12:25pm |
Multiple Case Studies: U.S. DoD, U.S. DHS, SSA
Text Mining: Lessons Learned John Elder, Ph.D., Elder Research, Inc. (Also see Dr. Elder's full-day workshop October 21) |
|
| 12:25pm-1:25pm | Birds of a Feather Lunch / Exhibits | |
| 1:25pm-2:15pm |
Keynote Putting Predictive Analytics into Context: The Analytics Value Chain Piyanka Jain, Sr Manager, Product Analytics, PayPal |
|
| 2:15pm-2:35pm |
Platinum Sponsor PresentationDriving Analytics Into Decision Making Jason Verlen, Director, SPSS Product Strategy & Management, IBM Software Group |
|
| 2:35pm-2:45pm | Session Break | |
| Track 1: Data Infrastructure and Integration | Track 2: Customer Value | |
| 2:45pm-3:35pm |
Case Study: Macy's
The world is not flat (even though modeling software has to think it is). Paul Coleman, Macy's Inc. |
Case Study: SunTrust
When One Model Will Not Solve the Problem - Using Multiple Models to Create One Solution Dudley Gwaltney, SunTrust Bank |
| Track 1: Response & Cross-Sell | Track 2: Segmentation | |
| 3:35pm-4:25pm |
Case Study: Paychex
Staying One Step Ahead of the Competition - Development of a Predictive 401(k) Marketing and Sales Campaign Jason Fox, Paychex Frank Fiorille, Paychex |
Practitioner: Canadian Imperial Bank of Commerce
Segmentation Do's and Don'ts Daymond Ling, Canadian Imperial Bank of Commerce |
| 4:25pm-4:50pm | Break / Exhibits |
|
| Track 1: Social Data | Track 2: Healthcare - International Targeting | |
| 4:50pm-5:40pm |
Thought Leadership
Social Network Analysis: Killer Application for Cloud Analytics James Kobielus, Forrester Research |
Case Study: Life Line Screening
Taking CRM Global Through Predictive Analytics Ozgur Dogan, Merkle Inc. & Trish Mathe, Life Line Screening |
| Track 1: Survey Analysis | Track 2: Healthcare | |
| 5:40pm-6:30pm |
Case Study: Forrester
(Internal Application) Making Survey Insights Addressable and Scalable - The Case Study of Forrester´s Technographics® Benchmark Survey Roxana Strohmenger, Forrester Research |
Case Study: UPMC Health Plan
A Predictive Model for Hospital Readmissions Scott Zasadil, UPMC Health Plan |
| 6:30pm-7:30pm | Reception sponsored by  | |
| 7:30pm-10:00pm | DC useR Group Meeting | |
| DAY 2: Wednesday October 20, 2010 | ||
| 8:00am-9:00am | Registration & Continental Breakfast |
|
| 9:00am-9:50am |
Keynote How Target Gets the Most out of Its Guest Data to Improve Marketing ROI Andrew Pole, Senior Manager, Media and Database Marketing, Target |
|
| 9:50am-10:00am | Gold Sponsor Presentation | |
| 10:00am-10:30am | Break / Exhibits |
|
| 10:30am-11:20am |
Expert Panel: Kaboom! Predictive Analytics Hits the Mainstream Panelists: David Duling, Research & Development Director, SAS Usama Fayyad, Ph.D., CEO, Open Insights Jason Verlen, Director, SPSS Product Strategy & Management, IBM Software Group Panel moderator: Eric Siegel, Ph.D., Program Chair, Predictive Analytics World |
|
| 11:20am-11:30am | Gold Sponsor Session | |
| 11:30am-12:20pm | Lab Session: Live Topical Demo | Lab Session: Live Topical Demo |
| 12:20pm-1:30pm | Birds of a Feather Lunch |
|
| 1:30pm-2:20pm |
Case Study: Yahoo! and other large on-line e-businesses Search Marketing and Predictive Analytics: SEM, SEO and On-line Marketing Case Studies Usama Fayyad, Ph.D., CEO, Open Insights, Former Chief Data Officer, Yahoo! |
|
| 2:20pm-2:30pm | Gold Sponsor Presentation | |
| Track 1: Sales Force Optimization | Track 2: Social Data & Fraud Detection | |
| 2:30pm-3:20pm |
Case Study: Corporate Executive Board
Enhancing Sales Force Effectiveness with Predictive Analytics Nancy Hersh, Corporate Executive Board |
Case Study: 1-800 Flowers
Leveraging Social Media Data to Manage Fraud Risk Auren Hoffman, Rapleaf |
| 3:20pm-3:50pm | Break / Exhibits | |
| Track 1: Privacy | Track 2: Text Mining & Fraud Detection | |
| 3:50pm-4:40pm |
Thought Leadership Myths About Privacy: How Analytics and Privacy Can Live At Peace Ari Schwartz, Vice President and Chief Operating Officer, Center for Democracy and Technology (CDT) |
Case Study: MetLife
Fighting Fraud with Text Mining at MetLife Auto & Home David McMichael, MetLife Auto & Home |
| Track 1: Catalog Retailer | Track 2: Text Mining | |
| 4:40pm-5:30pm |
Case Study: Miles Kimball
Miles Kimball Optimizes Marketing Decisions Ryan Hennig, Miles Kimball |
Case Study: Xerox PARC
Exploiting Unstructured Data Sources for Predictive Applications Bo Begole & Lawrence Lee Palo Alto Research Center, Inc. (a Xerox Company) |
| Post-Conference Workshop: Thursday October 21, 2010 |
|
The Best and the Worst of Predictive Analytics: Predictive Modeling Methods and Common Data Mining Mistakes John Elder, Ph.D., CEO and Founder, Elder Research, Inc. |
