It's Not a Black Box! Explaining Predictive Models to the Masses
Authors
Sarah Holder, Senior Market Research Analyst, Duke Energy John Mills, Lead Analyst, Duke Energy
The Market Analytics group at Duke Energy has been using propensity models to target marketing messages for years. However, getting the marketing team to trust numbers over their years of experience with targeting was a challenge. We used the graphic capabilities in JMP to explain how our models work and gain the trust of our peers. In this session, I will touch on the success Duke has experienced since the implementation of propensity models in outbound marketing, and also demonstrate the various graphical outputs JMP Pro creates when building a logistic regression model.
Published on 03-24-202509:02 AM by
Ryan_Gilmore| Updated on 03-27-202509:48 AM
Authors
Sarah Holder, Senior Market Research Analyst, Duke Energy John Mills, Lead Analyst, Duke Energy
The Market Analytics group at Duke Energy has been using propensity models to target marketing messages for years. However, getting the marketing team to trust numbers over their years of experience with targeting was a challenge. We used the graphic capabilities in JMP to explain how our models work and gain the trust of our peers. In this session, I will touch on the success Duke has experienced since the implementation of propensity models in outbound marketing, and also demonstrate the various graphical outputs JMP Pro creates when building a logistic regression model.
Start:
Mon, Sep 15, 2014 09:00 AM EDT
End:
Fri, Sep 18, 2015 05:00 PM EDT
Attachments
Its Not a Black Box! Explaining Predictive Models to the Masses.pptx
