Finance is awash with data, but much of it is discrete items locked up in silos waiting to be joined up to provide insights. Graph data is different: it's joined by default and oozes domain-specific insight.

In this talk we'll discuss several kinds of fraud common in financial services and see how each naturally decomposes into a straightforward graph use-case. To demonstrate the power of connected data, we'll explore use-cases using Neo4j and the (now open standard) Cypher query language to showcase just how performant, pleasant and powerful graphs can be, and how the fraudsters need to beware!