Regional bank: using data to reduce fraud

Data is at the core of many of the issues our customers are dealing with right now, but it’s also at the core of the solutions. We worked with a regional bank, partnering with its fraud and risk team to solve challenges around new account openings. Our experts developed anomaly detection models, scoring models and classification models to help reduce false positives, a task that in the past was heavily time intensive for the team, ultimately achieving a reduction of over 65%. In fact, this reduced fraud for new account openings by 92%.

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