Data Mining Technologies in Solving Economic Problems

Abstract

Improving the efficiency of business process management is a complex and extremely important task, the solution of which is unthinkable without the use of advanced information systems and management decision technologies. The paper presents the results of research on data mining technologies using On-Line Transaction Processing and On-Line Analytical Processing methods. The study proposed a generalized hierarchical representation of data processing methodologies with integration of heterogeneous sources to management decision making. Data mining base methods are systematized: classification, regression, prediction, clustering, interdependence, visualization, deviation (anomaly) detection, estimation, and feature selection (engineering). We described the possibilities of using data mining in the field of information technology, marketing, trade, financial and insurance activities. The study examined data mining technologies in sport products business using the Microsoft® Excel® application and a special add-in of the Microsoft® SQL Server® relational database management system, capable of identifying implicit (hidden) factors that affect or, equally important, do not affect sales volumes.