Predictive Analytics World for Workforce 2017 San Francisco

Date: 15-May-17 to 18-May-17
Location: San Francisco Marriott Marquis / San Francisco / United States
Category: Banking, Finance & Investment Conferences & Trade Fairs

Premier Predictive Event for Workforce and HR Data Scientists
The Predictive Analytics World for Workforce Conference (PAW Workforce), May 14-18, 2017, in San Francisco (http://www.predictiveanalyticsworld.com/workforce/2017), is the premier predictive analytics conference for workforce data scientists, HR analysts and business leaders. This global, cross-industry event highlights predictive tools being used to solve today's greatest workforce challenges.

Learn How to Apply Predictive Approaches and Tools Used in Other Domains
Until recently, predictive analytics tools were primarily used to drive enterprise performance by predicting customer, voter, debtor, and other human outcomes. Today, predictive analytics is similarly being applied to drive performance and lifetime value of an organization’s workforce. Predictive workforce analytics can help answer questions such as; who will accelerate, who will terminate, who has the greatest lifetime value, and more.
Review the Full Agenda:
http://www.predictiveanalyticsworld.com/workforce/2017/agenda_overview.php

Who Should Attend:
This conference discusses predictive workforce techniques in depth. As such, this Conference is targeted to workforce and HR data scientists, workforce and HR analysts, workforce and HR consultants and end users wanting to learn and exchange ideas about ways others are using predictive analytics to solve workforce challenges.

Early Registration Discounts:
Register by January 27, 2017, and save up to $600.00: http://www.predictiveanalyticsworld.com/workforce/register.php

Bring the Team Offer
Each additional attendee from the same company, registered at the same time, receives an extra $200 off the All Access, Two Day or Combo Passes. [Discounts may not be combined.]

For inquiries e-mail marketing@risingmedia.com or call 717-798-3495.

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