Profit indicators in performance systems in the Czech companies

Abstract

The main focus of the paper is the corporate performance measurement. At present, it is necessary to monitor this corporate performance and mostly try to improve it, because it could be very crucial competitive advantage in the market. The article provides an overview of key performance indicators (KPIs) in the companies. Based on the theoretical data there are applied statistical methods, which should be achieved of main aim of the paper. The main aim of the paper is to describe which groups of Key Performance Indicators are connected with corporate performance system of measurement in the area of Information and Communication Activities. To support this approach theoretical information from the area of Key Performance Indicators connected with data from primary research were used, focused on the performance evaluation of enterprises.Successful companies are aware of the need for long-term strategic development, which is based on teamwork, respect of external environment and all subjects, which influence the business activities of the company directly or indirectly. It can be more effective to conceptualize relationship complete than limit to only consumer market and customer relations. Marketing moves more and more away from individual transaction orientation and rather focus on value creating relations, where the objective is to provide long- term stakeholder value. Day after day the company gets in touch with different groups of stakeholders, that influence the corporate development and it can not to access to these interest groups individually for reason of corporate limits. It is therefore necessary to define homogenous stakeholders groups, which are differ from each other in terms of their impact on business management. The authors of article put the question, which classification is the most statistical explaining the difference of stakeholders in term of evaluation their impact on business management. It was made cluster analysis for data mining including its graphic presentation through dendogram by statistical software IBM SPSS Statistics 20 to obtain relevant answer.