SYSTEMS, METHODS, AND COMPUTER PROGRAM PRODUCTS FOR DETECTING BILLING ANOMALIES

摘要

Systems, methods, and computer program products for validating billing data and detecting anomalies in billing data are provided. In one embodiment a method is provided, the method comprising: receiving historical billing data for a customer, the historical billing data organized into a plurality of historical data sets; calculating a plurality of statistical representations of each of the plurality of historical data sets; generating a historical profile for the customer based on the plurality of statistical representations of the historical billing data; receiving current billing data for the customer; generating a current profile for the customer; comparing the current profile to the historical profile, the current profile and the historical profile being associated with the same at least one category attribute; and, based at least in part on the result of the comparison, determining whether one or more anomalies are present in the current billing data for the customer.

主权项

1. A method for identifying an anomaly in billing data, the method comprising:
receiving historical billing data for a customer, the historical billing data corresponding to one or more billing cycles preceding a current billing cycle, the current billing cycle being a billing cycle for which the customer has not yet been billed, the historical billing data organized into a plurality of historical data sets with each historical data set comprising a plurality of historical transactions, each historical transaction being associated with one or more category attributes, each of the one or more category attributes associated with a unique category; calculating a plurality of statistical representations of each of the plurality of historical data sets, wherein each of the plurality statistical representations is associated with at least one category attribute; generating a historical profile for the customer, the historical profile associated with at least one category attribute and based at least in part on the statistical representations corresponding to the at least one category attribute, the historical profile being a statistical model of the historical billing data; receiving current billing data for the customer, the current billing data corresponding to the current billing cycle for the customer, the current billing data comprising a plurality of current transactions, each current transaction associated with one or more current category attributes, each of the one or more current category attributes associated with a unique category; generating a current profile for the customer, the current profile associated with at least one category attribute, the current profile being a statistical model of the current billing data; comparing the current profile to the historical profile, the current profile and the historical profile being associated with the same at least one category attribute; and based at least in part on the result of the comparison, determining whether one or more anomalies are present in the current billing data for the customer.