Application of data mining technologies to find correspondences of development patterns in large arrays of web data based on Big Data analysis tools

A number of modern scientific studies interpret corporate strategy as a certain way to implement a specific action plan for an enterprise through the development of management decisions in a highly competitive environment with a limited set of resources. Management is a chain of various solutions, as well as tools that enable the practical implementation of these solutions. The relevance of the topic studied in the article is associated with the development of a global trend for digital technologies and solutions that have affected almost all aspects of society. The digitalisation of management activities directly affects the formation of an enterprise management strategy: in this way, automation of administration allows to systematically transfer relations between various groups of business entities, businesses and consumers to a new unique environment created in digital form, which ultimately allows to qualitatively increase the level of development and decision-making methods effectiveness in the field of management. The article defines the practical areas of using data mining technology in the context of the development of the digital economy. The key trends in the development of intelligent data volume technology are highlighted. The authors consider a variant of the architecture that allows optimizing web data processing.

1. Aksenov D.A., Kuprikov A.P., Saakyan P.A. (2018), “Directions and features of the application of blockchain technology in the economy”, π-Economy, vol. 11, no. 1, pp. 30–38. https://doi.org/10.18721/JE.11103

2. Babkin A.V., Chistyakova O.V. (2017), “Digital economy and its impact on the competitiveness of business structures”, Russian Journal of Entrepreneurship, vol. 18, no. 24, pp. 4087–4102. https://doi.org/10.18334/rp.18.24.38670

3. Belokrylova O.S., Goncharova E.V. (2019), “Blockchain as an effective tool for harmonizing the economic interests of actors in the Russian digital economy”, Journal of Economic Regulation, vol. 11, no. 1, pp. 50–63.

4. Danilkina Yu.V., Yakovleva A.O. (2022), “The use of digital technologies in making managerial decisions”, Innovations and investments, no. 3, pp. 69–73.

5. Khairullina A.R. (2019), “Information support of administration decisions in small and medium-sized entrepreneurship in digital economy”, Bulletin USPTU Science education economy Series economy, vol. 4, no. 30, pp. 141–149.

6. Sazonov A.A., Dzhamai V.V., Povekvechnykh S.A. (2018), “Analysis of the effectiveness of the implementation of CALS technologies (on the example of the domestic aircraft industry)”, Organizer of production, vol. 26, no. 1, pp. 84–92.

7. Stroev V.V. (2022a), “Analysis of the regulatory framework for digitalization of management of the development and production of high-tech products”, Natural Humanitarian Research, no. 40(2), pp. 269–275.

8. Stroev V.V. (2022b), “Development of methodological recommendations for determining the level of efficiency of carrying out activities in the field of digital transformations at high-tech enterprises”, Bulletin of the Academy of Knowledge, no. 49(2), pp. 285–291.

9. Tikhonov A.I., Sazonov A.A. (2018), “Digital modeling of the process of managing the life cycle systems of aircraft engines on the example of the JSC UEC-Aviadvigatel”, Moscow Economic Journal, no. 3, pp. 97–114.

10. Vasileva I.A., Kolosova V.V., Sazonov A.A. (2019), “Product lifecycle management under the conditions of production transformation”, Bulletin of the Moscow State Regional University, Series: Economy, no. 3, pp. 50–58. https://doi.org/10.18384/2310-6646-2019-3-50-58