Using neural clustering for business improvement companies

Abstract

The aim of this paper is to show that the data stored in companies data warehouses can be used in order to improve business. By application of data mining method, neural clustering, we investigate age structure of employees and its influence on business companies. This would enable improvement in employment policy for small and medium-sized companies. The criteria while employing new people in retail trade is defined based on the analysis. The analysis of the quality of sales dependency from age structure of sellers is carried out on the sample of 414 different retail trades whose businesses have been followed up through semi-annual financial report for the period of three years (2004–2006). As a result we get cluster templates with the proper attributes which may describe good or bad sale and with proper age structure of the venders responsible for that.