Case Study: Multinational Financial Services Company achieves 50% faster debt collection and $5M in additional recoveries in 3 months with Altair Knowledge Works

Multinational Financial Services Company - Customer Case Study

A multinational financial services company with billions in assets and more than 25 million customers needed to improve its collections rate and processes but lacked dedicated in-house data science talent. The bank faced fragmented structured and semi-structured credit data, no prescriptive analytics to prioritize daily outreach or channels, productivity challenges in call centers, and rigid data-transformation tools that slowed new product launches.

Altair’s Data Science Team implemented Altair Knowledge Studio’s patented decision and strategy trees, ingesting daily data via SFTP and delivering model recommendations that load directly into the bank’s CRM and dialer. Call-center reps focused only on customers the model predicted were likely to respond, while business rules and optimized channel selection reduced costs and improved efficiency. In a 3-month proof of concept the bank collected $5M more on 20% of the portfolio than its prior approach on 80%, recovered 50% of outstanding debt by targeting 22% of delinquent customers, and cut model development time from seven weeks to three.