Track 1 sessions are for All Levels
Track 2 sessions are Expert/Practitioner Level| Pre-Conference Workshops: Sunday, March 16, 2014 | |
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R for Predictive Modeling: A Hands-On Introduction Max Kuhn, Director, Nonclinical Statistics, Pfizer Room: Salon 5/6 |
The Big Picture on Big Data: Proven Methods You Need to Extract Big Value Marc Smith, Chief Social Scientist, Connected Action Consulting Group Room: Nob Hill AB |
| Day 1: Monday, March 17, 2014 | |||
| 8:00-8:45am | Registration & Networking Breakfast Room: Grand Assembly | ||
| 8:45-8:50am | Conference Chair Welcome Eric Siegel, Predictive Analytics World Room: Golden Gate A | ||
| 8:50-9:10am | Diamond Sponsor Presentation Predictive Analytics for a Broad Spectrum of Users Marco Casalaina, SAP AG  Room: Golden Gate A | ||
| 9:10-10:00am |
Keynote The Prediction Effect, the Data Effect, and the Persuasion Effect Eric Siegel, Predictive Analytics World Room: Golden Gate A |
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| 10:00-10:30am | Exhibits & Morning Coffee Break Room: Salon 8/9 |
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| Track 1: All Levels Room: Salon 5/6 |
Track 2: Expert/Practitioners Room: Golden Gate A |
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| 10:30-11:15am | Large-Scale Continuous Learning | Persuasion Modeling (aka Uplift Modeling) |
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Case Study: eBay Importance of Speed and Relevance to eBay and Our Big Data Strategies Gayatri Patel, eBay |
Case Study: Obama for America Pinpointing the Persuadables: Convincing the Right Customers and the Right Voters Daniel Porter, Obama for America | ||
| 11:20am-12:05pm | Social Media Analysis | Marketing | |
| Think Link! Network Insights with No Programming Skills Marc Smith, Connected Action Consulting Group |
Case Study: Sears Holdings Predictive Design of Marketing Campaigns Josep Ferrandiz, Sears Holdings Robin Glinton, Sears Holdings | ||
| 12:05-1:15pm | Lunch in the Exhibit Hall Room: Salon 8/9 |
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| 12:25-1:15pm | Lunch & Learn Predictive Analytics That Deliver Deeper Customer Insights in Hours, Not Weeks Dan Putler, Alteryx Jimmy Garrett, Alteryx  Room: Salon 5/6 |
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| 1:15-1:30pm | Sponsor Presentation Think Fast, Think Small: Delivering the Power of Big Data Analytics for Everyday Tasks Allen Bonde, Actuate  Room: Golden Gate A |
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| 1:30-2:15pm |
Keynote Achieving the Previously Impossible: Collapsing Data Silos with Big Data Architecture & Technologies Phil Shelley, Sears Holdings Corporation Room: Golden Gate A |
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| 2:15-2:30pm | Vendor Elevator Pitches  
   Room: Golden Gate A | ||
| 2:30-2:50pm | Media Placement | Web Optimization | |
| Case Study: Expedia Measuring the Value of TV Ads Online Daniel Kissin, Expedia |
Google Analytics Intelligence Nima Asgharbeygi, Google | ||
| 2:55-3:15pm | Analytics Staff & Project Management | Online Ad Placement | |
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The Top 3 Strategies for Setting Up an Analytics Center of Excellence Piyanka Jain, Aryng |
Case Study: Compass Labs Using Predictive Analytics to Improve ROI in Online Advertising Mahesh Kumar, Tiger Analytics | ||
| 3:15-3:50pm | Exhibits & Afternoon Break Room: Salon 8/9 |
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| 3:55-4:40pm | Price Optimization & Marketing | Media Placement | |
| Case Study: Brisconnections Ops (Australia toll roads) Targeting Pre-Opening Marketing Actions: How Predictive Analytics Helped a Toll Road Operator Reduce Marketing Risk Andy Gray, Deloitte Australia |
Case Study: Axis Bank & Kotak Mahindra Bank (India) Convergence Modeling Across Paid, Owned and Earned Media for Measuring Business Effectiveness Sweta Agrawal, Starcom Mediavest Group Aarti Bharadwaj, Starcom Mediavest Group | ||
| 4:45-5:30pm | Collections | Salesforce Optimization | |
| Case Study: Paychex Collections: Every Penny Counts Philip O'Brien, Paychex |
Case Study: Hewlett-Packard Early Warning System for Deal Abandonment Nishant Saxena, PMP, Hewlett Packard Suresh Arumugam, Hewlett Packard Aasif Mohammad Kidwai, Hewlett Packard Chiranjiv Roy, Hewlett Packard | ||
| 5:30-7:00pm | Networking Reception Room: Salon 8/9 |
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| 7:00-10:00pm | Bay Area useR Group Meeting Room: Salon 5/6 |
Bay Area SAS Users Group Meeting Room: Golden Gate A |
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| Day 2: Tuesday, March 18, 2014 | |||
| 8:00-8:45am | Registration & Networking Breakfast Room: Grand Assembly |
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| 8:45-8:50am | Conference Chair Welcome Eric Siegel, Predictive Analytics World Room: Golden Gate A |
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| 8:50-9:10am | Diamond Sponsor Presentation Room: Golden Gate A |
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| 9:10-10:00am |
Keynote Blackjack Analytics: A Surprising Teacher from Which All Businesses Can Learn Sameer Chopra, Orbitz Worldwide Room: Golden Gate A |
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| 10:00-10:30am | Exhibits & Morning Coffee Break Room: Salon 8/9 |
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| Track 1: All Levels Room: Salon 5/6 |
Track 2: Expert/Practitioners Golden Gate A |
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| 10:30-10:50am | Sports Analytics | Data Cleansing | |
| Why Steve Nash is My Nemesis: Finding the Missing Data Benjamin Alamar, Krossover |
Data Preparation from the Trenches: 4 Approaches to Deriving Attributes Dean Abbott, Abbott Analytics |
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| 10:55-11:15am | Industry Research | ||
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Predictive Analytics in the Cloud: Use Cases and Trends James Taylor, Decision Management Solutions |
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| 11:20-11:40am | Industry Research | Workforce Analytics - Retention | |
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What's the Difference Between a Data Scientist and an Analyst: Some Findings from a Recent Research Study Vijay Mehrotra, Department of Business Analytics and Information Systems; Member of INFORMS |
Case Study: A Major Financial Services Call Center A Data Science Approach to Reduce Call Center Attrition Pasha Roberts, Talent Analytics |
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| 11:45am-12:05pm | Energy Management | ||
| Case Study: UC San Diego Towards an Intelligent Smart Grid Natasha Balac, UC San Diego Supercomputer Center |
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| 12:05-1:15pm | Lunch in the Exhibit Hall Room: Salon 8/9 |
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| 12:25-1:15pm | Lunch & Learn Operationalizing Real-Time Marketing with Predictive Consumer Insights Holly Brown, Blab, Inc.  Room: Salon 5/6 |
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| 1:15-2:00pm |
Special Plenary Session The Peril of Vast Search (and How Target Shuffling Can Save Science) Dr. John Elder, Elder Research Room: Golden Gate A |
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| 2:00-2:15pm | Sponsor Presentation Big Data Analytics - No programming Required Ingo Mierswa, RapidMiner  Room: Golden Gate A |
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| 2:15-3:00pm |
Expert Panel Necessary Skills of the Quant Across Sectors Moderator: Eric Siegel, Predictive Analytics World Panelists: Dean Abbott, Abbott Analytics Greta Roberts, Talent Analytics, Corp. Mazhar Hussain, HP Room: Golden Gate A |
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| 3:00-3:30pm | Exhibits & Afternoon Break Room: Salon 8/9 |
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| 3:30-4:15pm | Healthcare Analytics | Behavioral Modeling | |
| Case Study: DPS Health Predicting Ongoing Engagement with an Online Health Behavior Change Program Adam Kaufman, DPS Health |
Case Study: Wells Fargo Using Time-Series Clustering to Understand Customer Behavior Dana Zuber, Wells Fargo Evelyn Lawson, Wells Fargo |
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| 4:20-5:05pm | Social Sciences | Insurance | |
Who's Bigger? Where Historical Figures Really Rank Charles B. Ward, Google |
Case Study: A Top 3 P&C Provider in Japan
Digital Lead Optimization in Insurance Anamitra Chaudhuri, Merkle Yanni Kotziagkiaouridis, Merkle |
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| Post-Conference Workshops: Wednesday, March 19, 2014 | ||
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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: Nob Hill AB |
Supercharging Prediction: Hands-On with Ensemble Models Dean Abbott, President, Abbott Analytics Room: Foothill G Sponsored by: 
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Making Text Mining Work: Practical Methods and Solutions Dr. Andrew Fast, Chief Scientist, Elder Research Inc. Room: Salon 5/6 |
| Post-Conference Workshop: Thursday, March 20, 2014 |
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Advanced Methods Hands-on: Predictive Modeling Techniques Dean Abbott, President, Abbott Analytics Sponsored by:  Room: Foothill G |
