All level tracks Track 1 sessions are for All Levels
Track 2 sessions are Expert/Practitioner Level


Agenda Overview – San Francisco – March 17-18, 2014
Pre-Conference Workshops: Sunday, March 16, 2014
Full-day Workshop
R for Predictive Modeling: A Hands-On Introduction
Max Kuhn, Director, Nonclinical Statistics, Pfizer
Room: Salon 5/6
Full-day Workshop
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
SAP
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
10:00-10:30am Exhibits & Morning Coffee Break
Room: Salon 8/9
  Track 1: All Levels
Room: Salon 5/6
Track 2: Expert/Practitioners
Room: Golden Gate A
10:30-11:15am Large-Scale Continuous Learning Persuasion Modeling
(aka Uplift Modeling)
Case Study: eBayAll level tracks
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 All level tracks
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
12:25-1:15pm Lunch & Learn
Predictive Analytics That Deliver Deeper Customer Insights in Hours, Not Weeks
Dan Putler, Alteryx
Jimmy Garrett, Alteryx
alteryx
Room: Salon 5/6
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
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
2:15-2:30pm Vendor Elevator Pitches
 Actian alteryx  Latent View  Actuate  Decision Systems
Room: Golden Gate A
2:30-2:50pm Media Placement Web Optimization
Case Study: ExpediaAll level tracks
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

The Top 3 Strategies for Setting Up an Analytics Center of Excellence All level tracks
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
3:55-4:40pm Price Optimization & Marketing Media Placement
Case Study: Brisconnections Ops
(Australia toll roads)All level tracks

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: PaychexAll level tracks
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
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
8:45-8:50am Conference Chair Welcome
Eric Siegel, Predictive Analytics World
Room: Golden Gate A
8:50-9:10am Diamond Sponsor Presentation
Room: Golden Gate A
9:10-10:00am
Keynote
Blackjack Analytics: A Surprising Teacher from Which All Businesses Can Learn
Sameer Chopra, Orbitz Worldwide
Room: Golden Gate A
10:00-10:30am Exhibits & Morning Coffee Break
Room: Salon 8/9
  Track 1: All Levels
Room: Salon 5/6
Track 2: Expert/Practitioners
Golden Gate A
10:30-10:50am Sports Analytics Data Cleansing
Why Steve Nash is My Nemesis:
Finding the Missing Data
All level tracks
Benjamin Alamar, Krossover
Data Preparation from the Trenches: 4 Approaches to Deriving Attributes
Dean Abbott, Abbott Analytics
10:55-11:15am Industry Research
Predictive Analytics in the Cloud: Use Cases and TrendsAll level tracks
James Taylor, Decision Management Solutions
11:20-11:40am Industry Research Workforce Analytics - Retention

What's the Difference Between a Data Scientist and an Analyst: Some Findings from a Recent Research StudyAll level tracks
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
11:45am-12:05pm Energy Management
Case Study: UC San Diego
Towards an Intelligent Smart GridAll level tracks
Natasha Balac, UC San Diego Supercomputer Center
12:05-1:15pm Lunch in the Exhibit Hall
Room: Salon 8/9
12:25-1:15pm Lunch & Learn
Operationalizing Real-Time Marketing with Predictive Consumer Insights
Holly Brown, Blab, Inc.

Room: Salon 5/6
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
2:00-2:15pm Sponsor Presentation
Big Data Analytics - No programming Required
Ingo Mierswa, RapidMiner
RapidMiner
Room: Golden Gate A
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
3:00-3:30pm Exhibits & Afternoon Break
Room: Salon 8/9
3:30-4:15pm Healthcare Analytics Behavioral Modeling
Case Study: DPS Health All level tracks
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
4:20-5:05pm Social Sciences Insurance

Who's Bigger? Where Historical Figures Really RankAll level tracks
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
Full-day Workshop
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
Full-day Workshop
Supercharging Prediction:
Hands-On with Ensemble Models

Dean Abbott, President, Abbott Analytics
Room: Foothill G
Sponsored by: QueBIT
Full-day Workshop
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
Full-day Workshop
Advanced Methods Hands-on:
Predictive Modeling Techniques

Dean Abbott, President, Abbott Analytics
Sponsored by: QueBIT

Room: Foothill G

© 2014 Predictive Analytics World
Produced by Prediction Impact, Inc. and Rising Media, Inc.

Predictive Analytics Company           Predictive Analytics Event Producer