Uncover patterns in customer behavior over time to manage portfolio risk and determine next best actions
While traditional credit data attributes provide valuable insights into customers at a given point in time, trended data and attributes analyze a customer’s behavior over time. With trended data, you’ll be able to get greater insights into customers to better determine their creditworthiness. Utilizing trended data in scoring models can improve lift when compared to models developed using traditional credit attributes alone.
Integrating trended attributes into business strategies can allow organizations to identify risk and determine their next best actions and solutions. These insights can help you understand not only what a customer looks like now but can also reveal how they got there.
Trended data can help your organization reduce risk with early-warning indicators.
Use trended data to make fair and appropriate data-driven decisions across the customer life cycle.
Uncover insights for all customers — including the thin-file population — with new data points, synthesized from 24 months of credit history.