In today’s complex economy, law enforcement and financial organizations fight against a wide range of financial crimes: embezzlement, tax evasion, extortion, corruption, terrorism funding or money laundering, to name a few. While tracking down those activities, governments and financial institutions must deal with a fast-moving financial crime landscape and a growing volume of information of various formats.
Graph technology like Linkurious Enterprise can be a powerful asset to help fight financial crime. It provides exhaustive overviews of the different entities and their connections. And it supports complex pattern queries on large data-sets in a near-real-time environment.
In this article, we’ll focus on anti-money laundering procedures and explore a specific case with a graph approach.