METHOD AND SYSTEM FOR IDENTIFYING CONSUMER CREDIT REVOLVERS WITH NEURAL NETWORK TIME SERIES SEGMENTATION

Initially, customer time series credit files are acquired. The credit files are organized in a data mart environment for supporting a query system. Time series utilization attributes are created and a neural network time series segmentation process is applied and N×N dimension segments are generated for analysis. The chart may be modified to more accurately depict profitable credit revolvers. Credit data from each potential new customer is processed in a similar fashion by the neural network segmentation process. Profitable credit revolvers are identified by having credit utilization patterns belonging to profitable segments previously identified.