Case Study: DirectPay achieves faster, higher debt recoveries and improved client relationships with SAS Visual Analytics

Data visualization and analytics help DirectPay improve client relationships, better manage risk and maximize repayment potential

DirectPay, a Netherlands–based debt‑management company, faced slow, spreadsheet-driven analysis and an IT bottleneck that made it hard to decide which debt portfolios to buy or how best to collect. The firm needed fast, mobile-ready insights to read customer behavior, set bid prices and improve client conversations.

Using SAS Visual Analytics, SAS Visual Statistics and SAS Enterprise Miner—plus geomapping and a license‑plate matching DebtScan workflow—DirectPay moved from weeks‑long modeling to days, put interactive dashboards on tablets, and deployed targeted repossession resources. The result: faster, individualized collection strategies, better client engagement, improved risk management and quicker recovery of capital.

DirectPay

Colin Nugteren

Chief Analytics Officer