Date: April 06, 2017
Time: 02:00 PM - 3:00 PM (EDT)
Subject Area: Personnel/HR*
NOTE: This is a recording. Viewing this recording does not qualify for CPE.
CPE was awarded for the live event on April 06, 2017. If you watched the live webcast and qualified for CPE, you may access your certificate once you launch the presentation by clicking the CPE button at the bottom of the screen.
Many organizations are venturing into predictive analytics to answer talent-related questions such as, Who is likely to resign? Can we predict the best leaders of the future? Why do some teams perform better than others? Building the predictive model is just the first step (and perhaps most straight forward).
The most common hurdle – and often the most difficult one for organizations to navigate – is taking action on a model’s findings. Predictive models represents a more nuanced set of information than simpler descriptive analysis, can raise ethical dilemmas and communication challenges in response, and requires pushing analytics to the point of the decision process. Yet, the value of predictive models is quickly lost if results are not integrated into talent decisions and processes.
Please join us for a live, webcast on April 6, presented by PwC’s People Analytics team where we look at leading practices for taking action on predictive analytics. Specifically we will share two case studies involving organizations that have implemented predictive attrition risk modeling for over 5 years, and look into how they have measured impact on business and worked on integrating results into strategies, technologies, policies, and strategic workforce planning to derive best value within the organization.
Ranjan Dutta, Director
Gia Graham, Senior Associate
This webcast will be delivered in a group live - internet based format. This webcast will qualify for up to 1.0 CPE credit(s) in Personnel/HR. Participants will need to log on from their individual computers to receive CPE credit. There is no charge to participate in this webcast; no prerequisites or advanced preparation required.