Intelligent visual analysis in employee fraud detection

The objective of this paper is to discover and prevent organized financial crimes among various entities such as applicants, guarantors, customers, staff, portfolio managers, beneficiaries, agencies, experts and services. A sophisticated visual analysis solution can help users to detect conspicuous links between different entities. Most of the institutions have been using business intelligence or reporting tools to examine employee fraud which are insufficient to discover and analyze organized crime. In this paper, we propose a visual analytics approach to this problem. A web based application is developed which works with on-demand data and enable users to navigate on the graph and move objects in order to make the complex relationships clearer. The users can also zoom-in and zoom-out and dynamically expand nodes to discover hidden relationships at deeper levels. Intelligence Visual Analysis solution is a sub module of end-to-end Internal Fraud Management solution. It is also a stand-a-alone solution which can be integrated to other fraud management solutions.