Cognitive approach to the formation of company strategy based on Data Mining and SWOT analysis

Petro Kutsyk


The problems of generation of enterprise strategy in the context of the introduction of strategic management at domestic enterprises in conditions of limited resources are studied. Algorithms for the use of "data mining" and artificial neural networks for conducting strategic analysis and generating patterns of strategic alternatives for enterprise behavior in a dynamic business environment based on the principle of SWOT methodology are considered. A systematized task that can be solved using the "data mining" system and neural network methods of deep analysis ("BigData") in modern economic activity. The problem of using "data mining" to substantiate management decisions is considered. The peculiarities of using Business Intelligence technology for making business decisions, which is used by the international consulting company McKinsey, are analyzed. A model of substantiation of strategic decisions based on the use of artificial neural networks, principles of deep data analysis or data mining and corresponding discrete algorithms, methods and criteria for selecting factors of the external and internal environment of the enterprise is proposed.


strategic management; enterprise strategy; Industry 4.0; data mining; artificial neural networks; SWOT analysis; business environment; Business Intelligence technology; factors of the external and internal environment of the enterprise

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Science Works Journal "Ekonomichnyy analiz"

ISSN 1993-0259 (Print)  ISSN 2219-4649 (Online) DOI: 10.35774/econa

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