Optimization of strategic level performance measurement and decision making using artificial neural network

In our paper we propose a new method for the strategic level performance measurement and decision making by presenting two case studies performed in 2011. We proposed a computational intelligence method to establish connection between basic operational level data and important strategic level indicators. In the first case study this indicator is related to performance measurement. In the second case study the indicator is the contribution margin of the given company. After the introduction we present the process of programming and learning with actual company data. Finally an evaluation of the results is presented based on the program runs.