Professional services for telecommunications
Next best action
Using statistical and machine learning techniques, we analyse available data and, with predictive modelling, reduce the information to a single value known as a credit score representing:
- Propensity to default on a credit obligation.
- Propensity to become delinquent or insolvent.
Financial lenders now use advanced customer data enhancement to reduce lending risk. Using statistical and machine learning techniques, we analyse 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, based on predictive modelling, 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 have built a predictive model, the model “learns” from key inputs such as customer historical data alongside peer group data and other data to predict the probability of that customer displaying a defined future behaviour.
- Standardise customer credit scores by score bands
- Reduce expected default rate
- Increase auto approve rates for lowest risk customers