Scoring Insights allow to calculate the probability of a customer to default on a loan, based on patterns identified in the transaction data.Get started
Built from transaction data, credit scores are proven to be highly predictive and stable over time. Credit scores can be tailored for optimising both approval rates and default rates.
Varying from simple representations to vastly complex ones, all features are standardised across all geographies and can be easily applied. More than 2,000 predictive features available.
Decision rules are already optimized feature application for specific geographies and lending products. Convenient for identifying specific customer groups, based on their probability to default.
For now, our Transaction Categorisation engine is calibrated for 17 countries: USA, UK, Spain, Sweden, Finland, Denmark, Germany, Czech Republic, Poland, Australia, New Zealand, Estonia, Latvia, Lithuania, Brazil, Indonesia, and India. If the country you need is not listed in our present coverage, please contact our team!Contact Us