Special methods of intelligent data analysis to detect and prevent the fraud.

Fraud analytics can be defined as a multidisciplinary field that combines numerous quantitative sciences in order to better understand fraud, for example through business intelligence (BI), and develop effective fraud detection solutions through data science. Fraud analytics is an umbrella term covering a lot of technologies. In the fraud management space, BI can be thought of as a descriptive performance reporter. It summarizes available data to provide business dashboards and insights to business leaders and fraud managers so they can make more informed decisions. This can involve, for example, analyzing the performance of fraud strategy rules. Fraud detection means the identification of actual or expected fraud to take place within an organization. An organization need to implement proper systems and processes to detect frauds at an early stage or even before it occurs. Fraud detection consists of the following techniques. Fraud analytics can be defined as a multidisciplinary field that combines numerous quantitative sciences in order to better understand fraud, for example through business intelligence (BI), and develop effective fraud detection solutions through data science. Fraud analytics is an umbrella term covering a lot of technologies. In the fraud management space, BI can be thought of as a descriptive performance reporter. It summarizes available data to provide business dashboards and insights to business leaders and fraud managers so they can make more informed decisions. This can involve, for example, analyzing the performance of fraud strategy rules. Fraud detection means the identification of actual or expected fraud to take place within an organization. An organization need to implement proper systems and processes to detect frauds at an early stage or even before it occurs. Fraud detection consists of the following techniques.