Real-time Graph Analysis of Financial Data Creates Potential for Millions in Fraud Detection Savings

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neo4j.com Case Study Case Study Case Study The #1 Platform for Connected Data Case Study Fortune 500 Financial Services Company Real-time Graph Analysis of Financial Data Creates Potential for Millions in Fraud Detection Savings Analysts at this Fortune 500 financial services company rely on large amounts of data to make fast, accurate decisions regarding fraudulent activity in financial transactions. With the real-time data analysis and visualization provided by Neo4j, fraud patterns are identified more accurately and manual review time is cut significantly, allowing for an increase in the number of reviewed transactions – and stopping millions worth of fraudulent transactions per year. The Company This Fortune 500 financial services company has customers around the world. Their on

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Real-time Graph Analysis of Financial Data Creates Potential for Millions in Fraud Detection Savings

Real-time Graph Analysis of Financial Data Creates Potential for Millions in Fraud Detection Savings

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