Predictive analytics can help organizations iterate rapidly, become more transparent and precise, and pinpoint opportunities to address inequities in their work.

In this recording from our 2019 Data on Purpose conference, Parag Gupta, vice president of the Stupski Foundation, and Jeff Gold, assistant vice chancellor at California State University, share a case study of how public higher education institutions are successfully using predictive tools to increase graduation rates and close the achievement and opportunity gaps between low-income and underrepresented minority students and their peers. In 2018, after using these tools, Cal State graduation rates were the highest they’ve ever been while equity gaps also narrowed.