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Early Warning System for SMEs as a Financial Risk Detector

Early Warning System for SMEs as a Financial Risk Detector
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Author(s): Ali Serhan Koyuncugil (Capital Markets Board of Turkey, Turkey and Baskent University, Turkey)
Copyright: 2009
Pages: 19
Source title: Data Mining Applications for Empowering Knowledge Societies
Source Author(s)/Editor(s): Hakikur Rahman (Ansted University Sustainability Research Institute, Malaysia)
DOI: 10.4018/978-1-59904-657-0.ch012

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Abstract

This chapter introduces an early warning system for SMEs (SEWS) as a financial risk detector which is based on data mining. In this study, the objective is to compose a system in which qualitative and quantitative data about the requirements of enterprises are taken into consideration, during the development of an early warning system. Furthermore, during the formation of system; an easy to understand, easy to interpret and easy to apply utilitarian model that is far from the requirement of theoretical background is targeted by the discovery of the implicit relationships between the data and the identification of effect level of every factor. Using the system, SME managers could easily reach financial management, risk management knowledge without any prior knowledge and expertise. In other words, experts share their knowledge with the help of data mining based and automated EWS.

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