Application of Business Intelligence Solutions for Preventing Retail Banking Frauds

Abstract

Banks are facing progressively more difficult circumstances with enlarged fraud incidents and low compound recoveries by a tidal wave of the command regulations in India and overseas, thus straightly distressing their bottom-line and enhanced cost of compliance. Banks are under huge force to execute the excellent methods with increased regulatory scrutiny. Fraud has emerged increasingly from being bounded. Through casual fraudsters to being dedicated by organized crime and rip-off jewelry that use complicated strategies to manipulate the economic facts and execute fraud. The difficulty is marked inside the economic department in which the settlements are extra difficult than in different industries. It is important to get no longer most effective several resources of facts to recognize the entities being agreed but also apply tough analytical methods to apprehend the data, extract feasible statistics, use expensive pattern detection and text mining to create quality, and highly developed fashionable techniques to suit the finest probable models to the data to decrease the fake optimistic rates. In this paper, it is found that fraud risk probability evaluation in retail banks can be similar to meeting point on embedding the resources into knowledge to get entire system and using the dedicated forensic tool during an examination procedure, were explained in this review.

Keywords: Business Intelligence, Banking, Fraud Prevention