How do you detect and prevent fraud

in the past, organizations had to take a fragmented approach to fraud prevention, using business rules and rudimentary analytics to look for anomalies to create alerts from separate data sets. to identify and stop an array of fraud attacks and crime quickly and accurately – while improving customer and citizen experiences – organizations should follow four critical steps: the fraud detection and prevention technology that you choose should be able to learn from complex data patterns. read three case studies to see how sas can help – and discover the benefits of taking an enterprise approach to fraud detection.




recognizing the need for speed in detecting fraud and protecting customers, dkb turned to fraud detection and anti-money laundering solutions from sas. instead of the pay-and-chase approach – after money has been spent – data analysts are preventing fraud by applying algorithms to detect anomalies and patterns. organizations should strive to continually learn from incidents of fraud and incorporate the results into future monitoring and detection processes. sas visual investigator is a fraud detection, investigation and incident management solution that combines large, disparate, structured and unstructured data sources.

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fraud detection and prevention is not a static process. there’s no starting and ending point. rather, it’s an ongoing cycle fraud detection and prevention used to be about looking at historical data— poring over records to spot potentially early detection can reduce fraud losses in many instances because organizational frauds tend to be, detection and prevention of errors and frauds in auditing, anti fraud controls, anti fraud controls, types of frauds, types of frauds in auditing

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