Online fraud will cost businesses more than $200 billion between 2020 and 2024 according to Juniper Research. Graph analytics can be used for fighting financial fraud by analysing the links between people, phones, and bank accounts (among other things) to reveal indicators of fraudulent behaviour, not only helping banks pinpoint suspicious activity in a sea of data but also giving them the tools to explain what’s going on.
Download our Solution Brief, Detecting Financial Fraud With Graph Analytics, to learn how TigerGraph’s graph analytics combined with machine learning can:
Reduce fraud losses by finding fraudulent patterns buried deep in data
Reduce the manual fraud processing overhead
Reduce false positives, and
Increase Customer Lifetime Value through improved customer retention