| Day 1: Tuesday, March 31, 2015 (PAW Business runs in parallel on this day - dual registration required) |
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| 8:00-9:00am | Registration & Networking Breakfast Room: Grand Assembly | |
| 9:00-9:05am | Conference Chair Welcome • Room: Nob Hill AB Greta Roberts, PAW Workforce | |
| 9:05-10:05am |
Keynote • Room: Nob Hill AB The Three Measures of Highly Effective Workforce Analytics Projects Greta Roberts, PAW Workforce |
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| 10:05-10:30am | Exhibits & Morning Coffee Break Room: Salon 8/9 |
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| Track 1 • Room: Nob Hill AB | Track 2 • Room: Nob Hill CD | |
| 10:30-11:15am | ||
| Case Study: Dignity Health How Dignity Health is Using Analytics to Turn Employee Surveys into Real Business Drivers Todd Horton, Dignity Health Scott Mondore, SMDHR |
Case Study: U.S. Special Forces Hiring and Selecting Special Forces Personnel Using Predictive Analytics Dean Abbott, Abbott Analytics | |
| 11:20am-12:05pm | ||
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Prescriptive Analytics for People and Things Carole-Ann Berlioz-Matignon, Sparkling Logic |
Case Study: ASB How American Savings Bank Uses Predictive Analytics to Reduce Teller Attrition Beth Whitehead, American Savings Bank Nadia Assaf, American Savings Bank Alexina Chai, American Savings Bank |
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| 12:05-1:30pm | Lunch in the Exhibit Hall Room: Salon 8/9 |
Lunch and Learn • Rm: Nob Hill CD How to Leverage Predictive Analytics to Reduce Attrition Rates Phil Durgin, Predixion Software  |
| 1:30-2:15pm |
Keynote • Room: Nob Hill AB Why the Rapidly Changing World of Analytics Matters for both HR and Business. Holger Mueller, Constellation Research, Inc. |
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| 2:15-3:05pm | Many Paths to Performance: Visualizing and Predicting How Workers Succeed or Fail Pasha Roberts, Talent Analytics, Corp. Room: Nob Hill AB | |
| Track 1 • Room: Nob Hill AB | Track 2 • Room: Nob Hill CD | |
| 3:10-3:30m | ||
| Predicting and Reducing Burnout Among Road Warriors Scott Gillespie, tClara |
Applying Predictive Analytics to Improve Talent Retention Steve VanWieren, Ultimate Software |
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| 3:30-4:00pm | Exhibits & Afternoon Break Room: Salon 8/9 |
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| Track 1 • Room: Nob Hill AB | Track 2 • Room: Nob Hill CD | |
| 4:05-4:25pm | ||
| Case Study: VoloMetrix People Analytics: Maximizing your "Return on Workforce" Ryan Fuller, VoloMetrix |
The Power (and Peril) of Predictive Analytics Dr. John Elder, Elder Research | |
| 4:30-4:50pm | ||
| Case Study: Predixion Software Retaining top talent with Predictive Analytics Phil Durgin, Predixion Software |
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| 4:55-5:40pm | ||
| Using Predictive Analytics to Create a Leadership Index Carl Schleyer, 3D Results |
Case Study: ABM How ABM-Mercer Used Predictive Analytics to Optimize ABM's Workforce Greg Lush, ABM Haig Nalbantian, Mercer Workforce Sciences Institute |
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| 5:40-7:00pm | Networking Reception Room: Salon 8/9 |
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| Day 2: Wednesday, April 1, 2015 (PAW Business runs in parallel on this day - dual registration required) |
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| 8:00-9:00am | Registration Room: Salon 8/9 |
Networking Breakfast Room: Grand Assembly |
| 9:00-9:05am | Conference Chair Welcome • Room: Nob Hill AB Greta Roberts, PAW Workforce |
9:05-10:00am |
Keynote • Room: Nob Hill AB How Walmart's Predictive Analytics Models Improve Associate Experience and Performance Elpida Ormanidou, Walmart |
| Track 1 • Room: Nob Hill AB | Track 2 • Room: Nob Hill CD | |
| 10:00-10:20am | ||
| Case Study: Cisco Integrating Predictive Models within a Rules Engine for Resource Allocation Aaron Lanzen, Cisco |
Case Study: AOL How AOL is Using Predictive Analytics as a Strategic HR Solution John Callery, AOL |
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| 10:25-10:45am | ||
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Case Study: Oracle Pre-Built Predictive Analytics Applications: Anticipating Employee Voluntary Turnover and Predicting Performance Charlie Berger, Oracle |
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| 10:45-11:15am | Exhibits & Morning Coffee Break Room: Salon 8/9 |
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| 11:15am-12:00pm | ||
| ABN-AMRO’s 2-year Journey with HR Predictive Analytics Patrick Coolen, ABN AMRO Luk Smeyers, iNostix |
Stories from the Front: Practical Adoption Challenges to Predictive Analytics David Turetsky, ADP, LLC |
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| 12:00-1:30pm | Lunch in the Exhibit Hall Room: Salon 8/9 |
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| 1:30-2:15pm | ||
| How Well Can Publicly Available Data Predict Who Will Leave Your Firm? Very Well! Genevieve Graves, HiQ Labs Arun Chidambaram, Pfizer |
Predictive Analytics – What's Next in 2015? Gene Pease, Vestrics Brian Kelly, Vestrics |
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| 2:15-3:00pm | Expert Panel • Room: Nob Hill AB Attrition, Retention and Flight Risk (Oh My). Success Stories from Predictive Workforce Leaders Moderator: Dean Abbott, Abbott Analytics Genevieve Graves, HiQ Labs Scott Mondore, SMDHR Pasha Roberts, Talent Analytics, Corp. Ryan Fuller, VoloMetrix |
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| 3:00-3:30pm | Exhibits & Afternoon Break Room: Salon 8/9 |
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| Track 1 • Room: Nob Hill AB | Track 2 • Room: Nob Hill CD | |
| 3:30-4:15pm | ||
| Leveraging Predictive Analytics to Optimize Your Talent Lifecycle in the Big Data Era Jean-Paul Isson, Monster Worldwide |
Human Analytics at Starbucks, RE/MAX, Capital One, Micron and other Fortune 500 Companies
Tom Palladino, Refined Analytics |
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| 4:15-5:00pm | ||
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Names and Numbers: Leveraging HR Culture to Accelerate the Adoption of Workforce Analytics Chad Harness, Fifth Third Bank |
Case Study: Predictive Execution Analytics Driving High Performance Business Outcomes Through Predictive Team Analytics Gene Tange, PearlHPS |
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| View Pre & Post Conference Workshop Offerings | ||
