Predicts future payment delinquency allowing credit providers to associate odds of payment with a consumer and make an informed decision on the granting of credit.

Predicts likelihood of fraud based on custom models using client fraud data.

Predict likelihood of customer responding or not based on client call centre data.

Predicts the probability of a client lapsing on an insurance policy based on ranking according to lapse rate.

Predicts the chance of a customer lodging a claim with the insurance company by using claims data and helps to inform premium selection.

Provides insights into what is happening across an industry as well as the current standing of a consumer’s book across three stages – acquisitions, current consumers & consumers in collection.

Assesses existing accounts on a periodic basis allowing credit providers to assign appropriate credit strategies such as cross selling, upselling or increasing or decreasing credit limits

Assesses existing clients on a periodic basis allowing credit providers to assign appropriate credit strategies such as increasing or decreasing credit limits cross selling or up selling of products.

Attrition models (Customer churn models)

Predicts the likelihood of a client churning.

AConsumer profiling

Provides a more customised profile view when generic profiling is not sufficient.