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

Abstract

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.