Patent ID: 8544727

Claim:
A method for anti-money laundering surveillance, comprising: analyzing transaction data based on a group comprising: peer comparison, expected level of activity, and debit/credit flow through based on volume and velocity of transaction data; generating, via a computing device processor, peer comparison statistical data, expected activity statistical data for a preset time period, and debit/credit flow through statistical data for a chosen time period; using an outlier-shooting algorithm to identify one or more outliers in the peer comparison statistical data, wherein using the outlier-shooting algorithm to identify the one or more outliers comprises: determining a median value for the peer comparison statistical data; determining a datum point having a largest distance value from the medium value of the peer comparison statistical data; generating a peer comparison alert when the largest distance value of the datum point for the peer comparison statistical data exceeds an outlier threshold associated with the peer comparison statistical data; and generating an alert in response to one or more predetermined results from the analyzing comprising: generating an expected activity alert in response to a predetermined change in historical transaction patterns; and generating a flow through alert in response to the debit/credit flow through exceeding a preset score.