Predictive Analytics World for Workforce

Date: 04-Apr-16 to 05-Apr-16
Location: San Francisco Marriott Marquis / United States
Category: Banking, Finance & Investment Conferences & Trade Fairs

Optimize your organization's greatest asset: its workforce. Every single product built, service provided, goal achieved, sale made, or error made, every single thing that happens at your company happens because of an employee.

Until recently, predictive analytics approaches were used to drive enterprise performance by predicting customer, voter, debtor, and other human behaviors. Today, predictive analytics can be similarly applied to drive performance and lifetime value of its workforce. Predictive workforce analytics can help answer questions such as; who will accelerate, who will terminate, who has the greatest lifetime value, and more.

Predictive Analytics World for Workforce (PAW Workforce) gathers a powerhouse of the most innovative workforce data scientists, employers, and vendors pioneering in the predictive analytics domain to solve these (and more) workforce optimization challenges.

PAW Workforce 2016 Dates This conference will be held April 3 - 6, 2016 at the Marriott Marquis Hotel in San Francisco, CA.

PAW Workforce is the premier predictive workforce conference for workforce data scientists, workforce / HR analysts, and business leaders. This global, cross-industry event highlights predictive solutions to today's greatest challenges in business optimization - workforce performance and attrition.

PAW Workforce 2016 will discuss case studies and brilliant workforce solutions in the following areas:

Predictive career pathing for optimal succession planning
Predicting individual training success
Predicting flight risk pre- and post- hire to reduce employee attrition
Optimizing the workforce planning process using predictive analytics
Using a Learning Recommendation Engine to increase retail performance
Shifting the curve of sales performance with predictive analytics
Reducing employee attrition
The State of Predictive Analytics for Workforce Enterprise Applications
People Analytics

Exhibitors

Tristan Aubert, Philip O'Brien, Lawrence Cowan, Holger Mueller, Michael Li, Raffael Devigus, Lisa Disselkamp, Kathy Doan, Stuart Dunlap, Jonathon Frampton, Cigdem Gencer, John Lee

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