Using Predictive Analytics & Machine Learning to Improve Social Sector Outcomes

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Using machine learning and big data from nonprofit IRS 990’s, foundation and other charitable giving, zip code level economic data, and population demographics, we can predict, among other things, which nonprofits will be financially healthy and why. Join us for a workshop with Pete York, evaluation expert and data scientist, who will share how these methods can help program officers, leaders and managers discover precisely what works, for whom and to use on-demand insights to achieve better outcomes. 

Assessing Grantees’ Financial Health and Long Term Sustainability - Program Materials

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This is the power point presentation from the program in Febuary 2014 - Assessing Grantees’ Financial Health and Long Term Sustainability. Hilda Polanco, Founder and Managing Director of FMA, a leading consulting firm dedicated to strengthening nonprofits led the workshop, focused on providing grantmakers with the skills to understand their grantees' financial reality.
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