INTELLIGENT TOOLS FOR DATA AND INFORMATION EVALUATION

The paper deals with the problematic of processing and utilization of data stored in individual modules of enterprise information system in the decision making process, particularly to support decision making at tactical and strategic management levels. Two hypotheses will be addressed by the contribution: H1 - agricultural enterprises use the management information systems (MIS) software to support their decision making processes. This hypothesis expects the MIS usage in 35 % of agricultural enterprises. H2 - supposes the data model design according to user requirements. Based on a survey between agricultural enterprises and enterprises not focused on agricultural production, the proportion on MIS usage for data and information processing was found. The results of the survey will be analytically processed and compared to the results of survey in non- agricultural businesses performed by Vorisek (2015). Long-term investigations and connection with practice enables authors to propose the data model structure of farm management information system supporting the competitiveness of the agricultural enterprise. The situation in agricultural enterprises is very specific. Data stored in databases are used in decision making processes only occasionally. Hypothesis H1 was not filled, MIS are used only in 10 % of agricultural enterprises. The proposed data model integrates data from all activities of the agricultural business and enables further utilization of these data for increasing company competitiveness. The level of data, information and knowledge utilization in agricultural enterprises is currently very low. It is affected by the fact that the group of suppliers and customers is smaller than in other sectors and therefore the supply-demand chain is closed. The situation is also strongly influenced by the current possibilities for further processing and utilization of data and information already stored in the enterprise data sources.