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January 30, 2013

Speaker: Dr. Kruzslicz Ferenc, Associate Professor, Faculty of Economics, University of Pécs, Hungary

Title: Detecting Data Fraud

Abstract: Last year, one of the largest Hungarian state-owned companies asked the Faculty of Economics to help them to cut their losses caused by tricky methods by-passing the normal business processes. The head of the countrywide control group complained of the small size of his group which was not able to continuously monitor the large number of branch offices. The challenge with the project was the large volume of data and the failure of existing models to detect frauds.

During this presentation, I will introduce some unique properties of the finished project and how the project specification was aligned. Beyond presenting our solution and tools, it is interesting to focus on how important is to select and consistently follow a proper methodology. It is worth to discuss why methodology must be matched to the problem instead of the capabilities of the research team. Financial frauds are so sensitive, that it is almost once in a lifetime occasion to work in a detection project. I hope even lessons of "what not to do (next time)" will be interesting for the audience.