Subject The article considers clustering of insurance companies as a type of informatization of economy for practical application by the internal control system. Objectives The purpose is to present clusters and give their interpretation for insurance companies in relation to internal control; identify the possibility of clustering, using the Deductor Studio platform developed by Base Group for internal control systems. Methods The study employs techniques of statistical research and data processing, mathematical methods, methods of grouping, and cluster analysis. Results Clusters are presented by several indicators of insurance companies. The study reveals heterogeneity in the results of distribution according to the rating of companies in terms of various indicators. It confirms the need to use the cluster analysis in the internal control system. Conclusions Cluster analysis enables the internal control system to take into account all data regardless of their amount, and avoid data sampling. It reduces the level of errors in the results of analysis and control.
Keywords: cluster analysis, internal control, insurance company, Kohonen network, Data Mining program
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