Guest post by Peter B. Wylie
In the evolving world of analysis for higher ed and non-profits, it’s apparent that a gap is widening: Many well-resourced shops are acquiring analytics talent comfortable with statistics and programming, but many others are unable to make investments in specialized talent.
Today’s guest post is a paper by Peter Wylie that addresses the latter group, the ones at risk of being left behind. Download his paper here: Simple_Score_in_Excel_Wylie
In this piece he uses data from two schools to show you something you can try with your own data, building a very simple predictive score using nothing but Excel.
Some level of data analysis ought to be accessible at some level to every organization, regardless of technical proficiency or tools. And in fact, shops that move too quickly to automate predictive scoring with black-box-like methods risk passing over the insights available to the exploratory analyst using more manual, time-consuming methods.
We hope you enjoy, and above all, that you try this with your own data. The download link again: Simple_Score_in_Excel_Wylie