Fighting financial crime is a daily battle worldwide. Organizations must deploy intelligent systems to prevent and detect wrongdoings, such as anti-money laundering (AML) control frameworks. We’ll see in this blog post how graph technologies can reinforce these systems. Using graph technologies to fight financial crime In today’s complex economy, law enforcement and financial organizations fight against a […]
The identification and monitoring of terrorist or criminal networks are crucial activities to detect threats. But with bigger datasets, new data types and fast-paced environment, it has become a challenge to conduct network intelligence analysis. In this article, we show how graph visualizations can help network intelligence analysis activities by identifying and racking suspicious individuals and their connections.
In fraud and white collar crimes, forensic investigators often have to go through massive amounts of complex connected data to gather proofs and evidence for their cases. In the recent years, the development of graph databases and data visualization tools have made it much easier to quickly find information that would have taken days to […]
The new release of our graph visualization software Linkurious is now available! Called “Stellar Stegosaurus”, it is the last minor release before reaching v1.0 (production-ready). Linkurious is available in two flavors: Starter and Enterprise. Both variants are always concerned by releases. New features Cypher graph queries Cypher is the SQL for graph databases, and is […]
Fraud detection is all about connecting the dots. We are going to see how to use graph analysis to identify stolen credit cards and fake identities. For the purpose of this article we have worked with Ralf Becher, irregular.bi. Ralf is Qlik Luminary and he provides solutions to integrate the Graph approach into Business Intelligence […]
How to turn data into a graph? As part of our series on Crunchbase, we are going to see how to transform a spreadsheet into a Neo4j graph. From a spreadsheet to a graph Last time we elaborated a model that described how we could populate a graph with the data found in the monthly Crunchbase […]