Investigators face the daunting task of accurately identifying fraud across large amounts of disparate data within shrinking windows of time. To date, this process has been reactive as investigators painstakingly sift through enormous volumes of suspicious activity reports generated from even higher volumes of fraud alerts.
With Centrifuge, fraud investigations apply “train of thought analysis" allowing them to explore and detect hidden relationships faster than ever. Results are shared with other investigators. Centrifuge has created an extensible and pluggable solution allowing you to access background check services, repositories of structured and unstructured data and integrate into a suite of applications. Reports, charts, timelines, maps, relationship graphs -- the intellectual property of the investigation – are saved for use in trials and as supporting evidence in the case.
Interactive Analytics allows you to accurately identify fraud using rich visualizations. Analysts can summarize fraud alerts using heat maps. They can also apply advanced link analysis to uncover relationships between suspicious customers, accounts, and other individuals.
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Analyzing data from multiple systems simultaneously and connecting the dots across these systems to identify sophisticated fraud rings.
Link data from different sources into a single unified visualization allowing you to recognize intricate fraud rings.
Force multiplying your efforts through the collective insights of a group of investigators.
Automatically notify other investigators, analysts and local law enforcement using rich visual representations that are relevant to the cases under investigation.
Prioritizing your highest risk cases to ensure your time and effort is being expended on the right activities.
Filter large volumes of alerts to isolate the most important cases that require immediate investigation.