USING METHODS OF INTELLIGENT DATA ANALYSIS TO IMPROVE THE EFFICIENCY OF ADMINISTRATIVE DECISIONS
The paper states that increasing amount of information makes the traditional methods of mathematical modeling inapplicable for analyzing complex phenomena. The most difficult task of conducting business analysis for subsequent management decision is, as practice shows, formulating a hypothesis. Intelligent data analysis involves an automated search of previously unknown patterns in databases. The gained information allows experts to improve the efficiency of building models and transforming raw data into useful information for making important decisions. Data mining technology does not have at its disposal own unique mathematical apparatus and software tools and uses a combination of different mathematical methods of artificial intelligence systems. Data mining is based on the concept of templates that reflect patterns of specific subsamples of data. Searching for patterns is accomplished by methods that do not use a priori assumptions about the studied subsamples. Methods of intelligent analysis greatly expand the possibilities of specialists in various areas, help identify informative indicators during processing large amounts of data, and thus allow solving specific problems; providing an opportunity to discover hidden and non-obvious patterns.