Find unusual patterns, relationships or transactions
Analysis are conducted across industry shared claims, fraudulent and suspicions data for claims assessment purposes utilising a bulk set of data supplied. For a pro-active analysis, active policy data can be summited to be analysed for potential fraudulent triggers against the RMS database.
The current Astute Risk Mitigation Service (RMS) is utilised to ingest and analyse the data provided by the Client. Furthermore, the data will be correlated to the current RMS industry data as well as triangulated against additional data sets such as the Department of Home Affairs to further strengthen the analysis process.
The correlations aim to identify matches based on various potential fraudulent scenarios on the defined data fields between the FSP’s and thus indicating possible fraud.