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The National Transport University Bulletin

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Received 02.09.2021

Revised 16.01.2022

Accepted 15.02.2022

Retrieved from Vol. 26, No. 1, 2022

Pages 382 -398

  • 129 Views

Suggested citation

Cherviakova, T., & Cherviakova, V. (2022). Trends in the use of «big data» in business analytics of enterprises in Ukraine. The National Transport University Bulletin, 26(1), 382-398. https://doi.org/10.33744/2308-6645-2022-1-51-382-398

Trends in the use of «big data» in business analytics of enterprises in Ukraine

Tetiana Cherviakova Valentyna Cherviakova

Abstract

The article is devoted to the study of the current state of «big data» analysis by enterprises and key trends in the field of business intelligence. Object of study – the use of «big data» in economic analysis. Purpose – to investigate the current state of «big data» analysis by enterprises and trends in the field of business intelligence. Methods of research – analysis, synthesis, generalization, systematization, graphic. The article examines statistics of the domestic enterprises' analysis of «big data» by sources of «big data» and by methods and techniques of analysis with a breakdown by type of economic activity and by number of employees. There is given an overview of the market of analytics and business intelligence platforms to work with «big data», their opportunities, advantages and disadvantages are analyzed. Key trends in the field of data and analytics for the near future are identified. It is established that the main problems in the development of the direction of «big data» processing in economic analysis in Ukraine are organizational and financial difficulties, lack of qualified personnel and lack of proper experience. A significant barrier to the use of business intelligence tools is the lack of practice of accumulating «big data» and the low quality of these data in domestic companies. These factors will significantly contribute to the further growth of the market of outsourcing services for business analysis of «big data». In the current conditions, it is expedient to introduce a single state operator of «big data», as they include personal data of citizens, which requires appropriate regulation and control.

 

Keywords:

business analytics; big data; economic analysis; platforms of analytics and business analysis; artificial intelligence; machine learning; augmented analytics; cloud analytics

References

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https://doi.org/10.33744/2308-6645-2022-1-51-382-398

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