Michaela Merz

Webcast: Beyond modeling: Taking action on predictive analytics

2 Comments

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.

Date:                         6 April 2017
Time:                        02:00 PM – 03:00 PM (EDT) / 08:00 – 09:00 PM (CET)
Registration:            Please click HERE to register yourself for the Webcast.

PwC Presenters:    Ranjan Dutta, Director and Gia Graham, Senior Associate

 

I do hope that you can join us!

 

Bildquelle: bernhard_pixler  / pixelio.de

2 thoughts on “Webcast: Beyond modeling: Taking action on predictive analytics

  1. Thank you, I have just been searching for info about this subject for a while and yours is the best I have came upon till now. However, what in regards to the conclusion? Are you sure in regards to the source?

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  2. great put up, very informative. I wonder why the other specialists of this sector don’t notice this. You must proceed your writing. I’m sure, you’ve a great readers’ base already!

    Like

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