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Business intelligence is an effort to better understanding of company processes and business consequences in which company occur. The main goal of this thesis is to characterize the principles and possibilities of implementation and application Business intelligence in small or medium enterprise. This goal should be achieved by description of general needs which small or medium enterprise, looking forward to use business intelligence, has. This includes evaluation and universal description of information technologies in small and medium enterprises, as well as what data are used for managerial decisions and how are they made. In order to implement BI into the small or medium enterprise, it is necessary to imply how the Business intelligence work and on what principles. The application part of this thesis describes real procedures in preparation of BI implementation, impact on company and evaluation of the meaningfulness of this solution.

The concept of multidimensional modeling has proven extremely successful in the area of Online Analytical Processing (OLAP) as one of many applications running on top of a data warehouse installation. Although many different modeling techniques expressed in extended multidimensional data models were proposed in the recent past, we feel that many hot issues are not properly reflected. In this paper we address ten common problems reaching from defects within dimensional structures over multidimensional structures to new analytical requirements and more.