An Exploratory Approach to Predictive Modeling
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- Associate Member - $65
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. In this presentation, we will look at how the principles of Exploratory Data Analysis (EDA) help build better models. We will also dig into exploring diagnostic tools such as residual plots, leverage plots and partial regression plots. We'll also discuss approaches for effectively activating the results. Come see how we can make statistical modeling fun.
John Sammis
Senior Vice President, Data Analytics
CCS Fundraising
John Sammis is a Senior Vice President of Data Analytics for CCS Fundraising. He brings more than 30 years of experience with statistical analysis and predictive modeling. John has devoted more than 20 years of his career to charities, universities, hospitals, and other nonprofit institutions, helping them produce models and use the results to achieve their fundraising goals. At CCS, John leads the Data Analytics team, which helps philanthropy and fundraising professionals apply cutting-edge data analytics tools to address specific organizational objectives. John is constantly reviewing the latest statistics tools and innovations to ensure that CCS applies the best approach for each client. John has a BS in Chemical Engineering from Clarkson University and an MBA from Cornell University.
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