Can you give us an example of a lesson you’ve learned
through your experiences with predictive modeling?
I’ve learned that predictive modeling is good but predictive
modeling in real time is just more extremely beneficial. When we picked up
Rapid Insight, we moved a five day turnaround time to an eight minute
turnaround. That’s one of the biggest changes we’ve made, and the effects have
been very apparent.
If there was another thing I’ve learned, it is to automate
absolutely every process possible to remove the opportunity for human error.
What types of predictive models will you be discussing
during your webinar?
The enrollment management model is our primary model but a
close cousin to that is the one we’ve been using for retention. The dataset is
basically the same only slightly enhanced. It’s good to use essentially the
same dataset to solve two different problems.
How has predictive modeling changed the way you operate?
It is the primary tool that we use to make decisions on the
incoming class. This last week has been an incredible example of that. We’re
taking a look at our early action pool and asking questions: What does it look
like? How does it compare with previous years? What if we swap out some people;
how does that change our incoming class?
What do you hope attendees will take away from your webinar?
There’s really no need to reinvent the wheel, so I’ll share
some ideas that I’ve picked up. I hope that others come on board and share
their successes as well. We all have the same problem set, so it will be nice
for others to take away a few things that I’ve seen that have given me success.
It would be great if they had ideas that they wanted to share with others as
well.
To register for Dr. Johnson's free webinar, "Four Years of Predictive Modeling and Lessons Learned", or for more information, please click here.
To read a case study about how Dickinson College uses predictive modeling for strategic enrollment management, please click here.
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