Case Study: Federal Agency reduces loan portfolio risk and implements proactive lender monitoring with Dun & Bradstreet

Government Agency Leverages Predictive Analytics and Innovative Lender Monitoring To Reduce Loan Portfolio Risk

A federal agency responsible for stewarding a $100B+ loan portfolio and overseeing more than 4,200 participating lenders lacked a holistic view of loans and lender relationships, leaving it dependent on reactive decision-making and without early-warning indicators. Agency leaders commissioned a modernization to identify high-risk lenders, enable risk-based reviews, monitor delinquency and viability, and incorporate performance scores into predictive models.

Dun & Bradstreet implemented a best-practice loan and lender monitoring system—combining batch data cleansing, enrichment, third‑party integration, standardized data warehousing, performance scoring and advanced analytics—to create predictive indicators and actionable reports. The solution delivered proactive, risk-based oversight, strengthened program integrity and transparency, and improved portfolio monitoring and decision-making for the agency and its lending partners.