Fraud Detection Investigators face the daunting task to accurately identify fraud across big data within shrinking windows of time.
Centrifuge Visual Network Analytics enhances fraud detection techniques including traditional approaches that use rules to flag suspicious transactions. Centrifuge delivers dynamic relationship mapping to connect people, accounts, financial transactions, and any other types of data. Users uncover patterns in behavior using a combination of interactive charts, time line analysis, tables and relationship maps. Minimize risk and detect threats with Visual Network Analytics from Centrifuge
Centrifuge allows users to automatically pinpoint suspicious relationships using link directions, time analysis, and size on relationship maps. Identify people, accounts and events that could indicate fraud or money laundering. Centrifuge Visual Network Analytics brings together Agile Data Integration, Dynamic Relationship Mapping, and Interactive Visual Analytics to provide a complete picture of fraudulent behavior.
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 visually-rich fraud detection software 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.