Predictive Analytics for the Workforce: What CFOs Need to Know

Date: Wednesday, July 30, 2014
Time: 2:00 P.M. ET
Duration: 1 hour 

Sponsored by Evolv

Webcast Summary

Have you or members of your finance team used predictive analytics?  Chances are that if you have, the aim has been to mitigate risk, set ideal pricing or forecast your customers’ actions.  What companies are now discovering is that they can also apply predictive analytics to their workforces – with dramatic results.

This Webcast will explore how companies can use predictive analytics to gauge the performance of their investments in human capital.

We invite you to register for this Webcast, featuring guest speaker Mike Gualtieri, Forrester’s advanced analytics expert, and leading workforce scientist Dr. Michael Housman, chief analytics officer with Evolv, to learn how predictive analytics for the workforce can:

•    Measure employees’ contributions to business outcomes (finally!);
•    Optimize your existing teams for greater efficiency;
•    Improve customer satisfaction by 5%;
•    Lift Net Promoter Scores by as much as 4%;
•    Identify the best talent with 80% accuracy; and
•    Boost employee retention by 58%.

In addition, you will hear how finance teams can use predictive analytics to foster a common language between HR and finance that enables organizations to look through the windshield, instead of the rearview mirror, to manage their workforces successfully. Register now to learn how.

Webcast Speakers

Mike Gualtieri, Principal Analyst serving Application Development & Delivery Professionals, Forrester Research

Dr. Michael Housman, Chief Analytics Officer, Evolv

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Continuing Professional
Education Credit


Webcast Inquiries: For inquiries as well as complaints concerning this Webcast, you are welcome to call (888) 250-5719.

Please note that only those who attend the live Webcast will have the opportunity to earn continuing professional education (CPE) credit in connection with this Webcast.

Field of Study: Specialized Knowledge and Applications
Level: Intermediate
Prerequisite: None
Advance Preparation: None required
Delivery Method: Group Internet-based
Recommended CPE Credits: 1

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