Exponentially increasing data volumes, a constantly growing
number of apps and systems as well as increasingly complex
international regulatory environments are making the fight against
financial crime (FinCrime) more and more complex. By using graph
analytics, the increasingly complex requirements for compliance
reviews can be successfully managed, as the example (provided
below) of deployment at a Swiss private bank show.
Before we talk about graph analytics, it is important to
understand what a graph is. In mathematical terms, it is an
"abstract structure that represents a set of objects
together with the connections that exist between these objects
". In everyday life, we encounter graph analysis, for
example in social networks, online shopping, or streaming services
in the form of "if you liked this series/product/person, you
might also like this series/product/person".
