Proposals for Implementing Data Analysis Solutions for Fraud Detection

Bãnãrescu Adrian ()
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Bãnãrescu Adrian: Postdoctoral researcher at the Institute of National Economy, Romanian Academy

Ovidius University Annals, Economic Sciences Series, 2015, vol. XV, issue 1, 210-215

Abstract: In the current informational context (I-society) it is necessary to introduce proactive analytical guidelines, in order to prevent and detect fraud in the economic, financial and fiscal fields. Practical ways through which can be prevented and identified frauds are extremely diverse, but those with a higher rate of success are the ones through which is achieved an objective analysis, by exploitation of databases. Although in Romania the institutional framework for detecting fraud is created, the information processes that capitalize the potential of intangible assets (data, information, knowledge) are not exploited in a systematic way and are not integrated into the decision-making act (whether strategic or operational). Designing a fraud-detection system will take into account a number of issues relating to: identify areas with high risk of fraud, access to historical events that have been laid down as indications of fraud (historical data), environmental features in which the company operates etc.

Keywords: fraud; IT integrated system; data analytics; risk analysis (search for similar items in EconPapers)
JEL-codes: G32 K42 O39 (search for similar items in EconPapers)
Date: 2015
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