About this document
Fraud Detection through Data Analytics by vimalmshetty is a document available to read on EtoBox.
This document summarizes a webinar on detecting fraud using data mining and analytics. It discusses how data analytics can be used to achieve 100% coverage of transactions compared to traditional sampling techniques. Various types of data mining techniques are presented, including vendor attribute analysis, employee/vendor relationship matching, address and name mining. The webinar provides examples of how continuous auditing using automated analytics could be applied for a manufacturing company and public
- Author
- vimalmshetty
- Language
- EN