Network Security · 2013 · 39 citations · 0 references
BusinessBusiness AnalyticsComputer ScienceBig Data AnalyticsData AnalyticsData MiningFraud DetectionFraud ExaminationFraud InvestigationFraud PreventionFraud Risk AssessmentFraud Risk ManagementAdaptive Fraud DetectionCorporate Fraud InvestigationsFraud Investigation Support SystemsFraud Prevention SystemsReal-time Fraud Detection
Call it a ‘scam’, ‘rip-off’, ‘cheat’ or ‘sting’, but whatever you call it the impact of fraud hits businesses equally hard. And the bad news is that the number of fraud cases is not falling but rising. Fraud hits businesses hard. And the bad news is that the number of fraud cases is rising. The pressure is on for companies to find effective solutions and tackle fraud in a smarter way. Shaun Hipgrave of IBM explores three aspects of smarter fraud investigations: smarter technology, improved data visualisation and better internal communication. And a critical element in this is using big data analytics to detect fraud fast and share critical investigative information.