Full Article: PDF
Scientific Object Identifier: http://s-o-i.org/1.1/TAS-03-155-12
DOI: https://dx.doi.org/10.15863/TAS.2026.03.155.12
Language: Russian
Citation: Bekbosinov, A.K. (2026). Application of Big Data Analytics in Managing Innovation Processes at Industrial Enterprises in the Republic of Karakalpakstan. ISJ Theoretical & Applied Science, 03 (155), 207-210. Soi: https://s-o-i.org/1.1/TAS-03-155-12 Doi: https://dx.doi.org/10.15863/TAS.2026.03.155.12 |
Pages: 207-210
Published: 30.03.2026
Abstract: The article explores the possibilities of applying Big Data analytics technologies in the management of innovation processes at industrial enterprises in the Republic of Karakalpakstan. The theoretical foundations of Big Data analytics and its role in the digital transformation of industry are examined. Based on statistical data, the trends in the development of the region’s industrial sector, the digitalization of the economy, and the implementation of analytical technologies are analyzed. A model for the use of Big Data in enterprise innovation management aimed at improving production efficiency and the competitiveness of industry is proposed.
Key words: Big Data, innovation, digital economy, industry, innovation management.
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