In this interview with CDO Magazine, our CEO, Justine Zinkin, discusses our work with IBM’s Data Science for Good team.

During this partnership, we analyzed our client’s credit, debt, and bank transaction data to co-create predictive analytics that identify when clients are at risk of taking on debt—enabling us to intervene in real time.

With 65% percent of households living paycheck-to-paycheck, this level of data analytics is essential to our organization’s mission to ensure working families are liberated from a reliance on expensive debt, in all its forms.

Watch the interview to learn more about our thoughts on good data governance, the transformation of the marketplace via our client data, and co-creating a machine-learning pipeline with IBM.