Abstract

The relevance of the intellectual approach study to the analysis of the enterprise activity at conditions of complexity, variability, ambiguity of the environment in which enterprises operate, in order to clarify the causal connections of the current situation and predict its consequences in the future, is justified. The main ways of data mining, in particular statistics, artificial intelligence and their combination are considered. The main categories of data mining based on the selection of descriptive data mining and predictive data mining are characterized. In particular, descriptive data mining that is used to examine the patterns of data description, and predictive data mining - to predict the behaviour of the model based on the available data set, are characterized. The structure and methods of data mining are investigated. It’s determined that data mining has a great importance in business and science. It’s noted that data mining consists of searching, analysing and sorting large amounts of data in order to identify new patterns, development trends and relationships contained in the collected data. It is described that given the huge amount of data stored in files, databases and other repositories, it is important to have a subject area that requires new knowledge from the existing data set that could help in decision making. It is highlighted that the generation of data and methods of their processing for data mining is an important task and requires knowledge of the subject area. The intellectual analysis for an estimation of corporate culture of the industrial enterprises with use of a descriptive method was carried out. Given the complexity of the studied phenomenon of corporate culture in enterprises and the need to supplement quantitative assessments of the results of surveys, which are difficult to process traditional statistical methods, it is concluded that data mining should be used to study the state of corporate culture in the enterprise. It is concluded that in the conditions of expansion of the information field in the activity of enterprises, the connection of managerial activity with the sphere of information technologies will grow.

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