Dun & Bradstreet’s graph journey began in 2017, he says, with software from Neo4j bolstered by visualization technology from a specialist anti-fraud firm that also uses a graph approach, Linkurious. A proof of concept was delivered in about three months, and another two to bolt on the visualization aspect. Now, he claims, Dun & Bradstreet customers have a holistic view of ‘Who owns me and who do I owe in turn?’, with the system physically separated into so-say ‘causal clusters’ in the various geographies the corporation operates in, with a recent addition to the system’s functionality being a change of ownership detection facility.
Read more: https://diginomica.com/graph-proves-ideal-way-answer-who-owns-me-anti-money-laundering-question
Keywords: anti-fraud • choosing neo4j • clusters • graphs