Almost all the fraud detection and investigation are backed by the relational database systems mentioned above. RDBMS remain one of the best tools for storing and organizing data.
Yet, when it comes to querying and visualizing important amounts of connected data, RDBMS do not perform well and often lack important features:
Anti-fraud tools are dependent on these limitations. And all of these issues make them difficult to use for fraud, where analysts need to identify and investigate suspicious connections quickly.
Because it relies on graph databases, Linkurious Enterprise makes it possible to overcome these.
Its graphical interface simplifies the job of analysts and allows them to leverage the power of graph databases like Neo4j.
Investigating suspicious looking patterns in data with Linkurious Enterprise is fast for analysts and can be automated. Without previous knowledge of graph analysis, teams can carry out complex investigations to spot insurance fraud cases.