Fraud investigations present unique challenges:
The assessment and prioritisation of potentially fraudulent incidents, bulk document sets that require management and analysis, the identification of key transactions, and the disclosure of evidence in a consistent and well-structured format.
Instead of chasing up hundreds of small incidents, time and resources can be better spent concentrating on the large, costly cases and working one’s way down.
It would be nice to treat every case as serious, but commercially it makes no sense. Alerts deemed noteworthy but of lower priority can be diverted to other departments.With our solution: Any technology system supporting the MIR must be fully scalable to accommodate hundreds of simultaneous users across multiple cases, and totally robust in both design and operation. You need complete confidence that the system won’t grind to a halt or even worse, suffer from data loss or corruption.
Automatic data feeds from a variety of sources can be processed into a single unified data model, designed to support the triage analyst. The automated data stream can be further supplemented by ad hoc queries to other internal and external data sources.
Link Explorer’s query-by-example feature makes a wide variety of complex parameterised queries available to the analyst in just a few clicks. The full power of Link Explorer’s network, temporal and spatial visualisations and analytics can then be rapidly and effectively applied to the query results to identify high risk cases via clusters and links, suspicious timelines and past behaviour, co-located fraud incidents etc.
Integration with in-house systems allows fraud incidents to be assigned for investigation or moved to the appropriate upstream business processes. As automated fraud detection continues to improve and identify more cases, triage analysis is becoming ever more important. By helping analysts to quickly identify those cases requiring further investigation Link Explorer improves the effectiveness of your fraud teams, helping to minimize losses and improve competitiveness.