Using statistical and machine learning techniques, we analyze available data and, with predictive modeling, reduce the information to a single value known as a credit score that represents customers':
Financial lenders now use advanced customer data enhancement to reduce lending risk. Using statistical and machine learning techniques, we analyze the available data and reduce it to a single value known as a credit score representing the lending risk for each individual record.
Credit scoring is a form of artificial intelligence (AI) based on predictive modeling that assesses the likelihood of a customer defaulting on a credit obligation, becoming delinquent, or insolvent. A high credit score indicates to the lender a high confidence in that customer’s creditworthiness. Once we've built a predictive model, the model “learns” from key inputs such as historical customer data alongside peer group and other data to predict the probability of that customer displaying a defined future behavior.