Predictive Analytics World for Workforce
About This Event
The 2nd annual Predictive Analytics World for Workforce conference is back in 2016 by popular demand. As such, it is gathering a powerhouse of the most innovative workforce data scientists, employers, and vendors pioneering in the predictive analytics domain to solve workforce optimization challenges.
PAW Workforce 2016 will include two in-depth tracks: Business and Technical. PAW Workforce 2016 will discuss case studies and brilliant workforce solutions in the following areas:
- Self-Organizing Job Paths: Markov Chains, Predictive Models and More
- Predictive Analytics Unlocks Sustainable Cost Reduction In Hourly Workforce
- Case Study: Using Wearables and Big Data to Reinvent Management
- Case Study: Predicting High Performer Compensation Using Market Data
- Case Study: Building a Career Advisor Tool Based on Predictive Analytics
- Sales Rep Assessment: Shifting the Curve of Sales Performance with Predictive Analytics
- Big Data Driven Labor Scheduling
- Research Findings: Using Predictive Analytics to Reduce Unemployment Insurance Costs
- Balancing Privacy with Powerful Employee Churn Predictions
- Creating Value by Quantifying the Impact of Attrition
- What Workforce Analytics Can Learn from the Marketing Analytics Domain
- Visualizing Organizational Movement for Opportunity Identification
- Case Study: The Predictive Workforce Analytics Journey at F. Hoffmann-La Roche
- Finding Top Data Scientists for Your Organization: Optimize the Hiring Process with Analytics
Register today for Predictive Analytics World for Workforce and use discount code EVVNT10 during checkout to receive 10% off the price of registration for 2 Day, All Access and Combo passes.
Price:
Super Early Bird: USD 3200,
Two Day Pass: USD 1500
Speakers: Tristan Aubert, Lawrence Cowan, Raffael Devigus, Lisa Disselkamp, Kathy Doan, Stuart Dunlap, Frank Fiorille, Jonathon Frampton, Cigdem Gencer, John Lee, Michael Li, Holger Mueller, Burke Powers, Greta Roberts, Pasha Roberts, Chase Rowbotham, Daniil Shash, Greg Tanaka, Ben Waber, Ian Zhao
Time: On Sunday April 03, 2016 at 9:00 am and ends Wednesday April 06, 2016 at 5:00 pm