Abstract: System and method for detecting anomalies in the recorded consumption of data volume and charging of data services in a communication network is described. Data records for each session may be captured from multiple sources. The data records may comprise parameters indicating usage volume pertaining to services being consumed for each session. Further, the data records may be aggregated and reconciled to detect volume gap in each session. Each session may be categorized into a session category based upon the detection of the volume gap. The data records may further be enriched by tagging each data record with the session category. The data records enriched may then be aggregated across the parameters. Finally, a root-cause parameter for the volume gap pertaining to each session may be identified by computing a total volume, a total volume gap and a probability of gap root-cause for each parameter using the aggregated data records.

Abstract: System and method for detecting anomalies in the recorded consumption of data volume and charging of data services in a communication network is described. Data records for each session may be captured from multiple sources. The data records may comprise parameters indicating usage volume pertaining to services being consumed for each session. Further, the data records may be aggregated and reconciled to detect volume gap in each session. Each session may be categorized into a session category based upon the detection of the volume gap. The data records may further be enriched by tagging each data record with the session category. The data records enriched may then be aggregated across the parameters. Finally, a root-cause parameter for the volume gap pertaining to each session may be identified by computing a total volume, a total volume gap and a probability of gap root-cause for each parameter using the aggregated data records.