Case Study: Receivables Management Firm achieves 4% model accuracy uplift and improved debt repayment forecasting with Explorium

Boosting Debt Repayment With Enriched Data

Receivables Management Firm faced the challenge of improving repayment predictions while remaining compliant with anti-discrimination and privacy rules that prohibit using PII and many external data sources. To expand predictive capabilities without violating regulations, they worked with Explorium, leveraging the Explorium platform and its Enrichment Catalog to find compliant, contextual datasets and engineer new features.

Explorium enriched the firm’s internal data with location-based financial indicators, geospatial context, and event-driven external signals, and used its platform to validate and create new model features. The result, via Explorium, was a more accurate repayment forecasting system with a measurable 4% uplift in model performance, improved collections and revenues, and reduced defaults—all achieved without relying on personally identifiable information.