There has been increased interest in leveraging predictive AI by non-profits to generate new major and legacy gift prospects and for improving annual fund prioritization. Last year we looked at how the principles of Exploratory Data Analysis (EDA) could help build better models. This year we will dive a little deeper into exploring potential factors using tools such as partial regression plots and diagnostics such as Hadi’s Influence and Cook’s Distance. We’ll also discuss approaches for effectively activating the results. Come see how we can make statistical modeling fun.