Leszek Kieltyka

Application of Neural Network Topologies in the Intelligent Heat Use Prediction System

The authors describe the structure of an Intelligent Prediction System (IPS) basing on neural networks simulated in the STATISTICA Neural Networks artificial intelligence package. The system has been adopted in the process of predicting regional heat use. The authors focus on the methods applied to select optimum neural networks in the prediction mode of the analysed phenomenon and present prediction results for the best networks.

Analysis of Business Intelligence Solutions in the SME Sectors

Business intelligence (BI) solutions are aimed to help managers make decisions in enterprises. Through complex analysis, decision-makers are supported in building strategies of operation. Managers in small and medium-sized enterprises (SME) are also becoming more aware of the fact that conventional methodology of analysis of current events is insufficient. Therefore, the need arises for using the solutions that support the processes of data analysis, finding relationships between each other or pointing to important tendencies and anomalies. These systems were primarily oriented at larger enterprises. However, BI solutions are more and more often adjusted to SME enterprises, offering a complex tool to support decision-making processes. This paper presents key stages in evolution of BI systems and characterizes selected BI systems dedicated to small and medium enterprises (SMEs). Substantial barriers to implementation of BI systems in SMEs were also indicated.