OverviewFraud is a billion-dollar business, and it is increasing every year. The banking, insurance, and healthcare sectors suffer the most. Traditional methods of data analysis have long been used to identify fraudulent users. It requires complex and time-consuming investigations.
Taking advantage of recent technology advances, we use algorithms and strong Data Science expertise to help fraud analysts detect anomalies and patterns in transactions.