The big data and analytics effect analysis on the real and public sectors of economy and the problems of their assessment by statistical methods

Viktoriia D. Chekina, Sviatoslav I. Kniaziev


Big Data and Analytics is one of the key technologies, on which the digital transformation of the economy is based. The implementation of this technology into production would allow optimizing product’s quality, reducing energy consumption, and improving the maintenance of equipment, manufacturing and management systems. Use of Big data in the public sector is seen as a tool for building a safer society, enhancing the administrative functions’ performing, forecasting and reducing government spending.In this regard, the paper identified the advantages and barriers to the implementation of Big data in activities of enterprises and organizations; analyzed the main fields of companies' operations that offer technical support and other services, related to the use of Big Data. It has been established that a new direction of business activity, based on management and analysis of Big data, is the most dynamic and growing segment of the IT industry.It is revealed that now there is a shortage of state-recognized statistical information on the use of Big Data and Analytics in enterprises’ activities and their impact on the final output of goods and services in an economy.Based on the results of the analysis, the paper offered to improve the definition of the term “goods” in the Classification of Economic Activities DK 009: 2010 of the National Classifier of Ukraine and to pay attention to indicators that can act as markers for analyzing the development of the Big Data’s domestic market: the number of companies, operating in the field of Big Data and Analytics (Big Data vendors); amount of income of these companies from the production of equipment and software for Big Data and Analytics; the number of companies and enterprises, which are used Big Data and Analytics in their business (size, activities, regions); amount of investments in Big Data; the share of companies’ income, generated by the Big Data use, etc.


Big Data and Analytics; Big Data market; digital technologies; optimization; forecasting; statistical information; statistical methods; assessments

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Гаркушенко О. Н. Информационно-коммуникационные технологи в эпоху становления смарт-промышленности: проблемы определения и условия развития. Економіка промисловості. 2018. № 2 (82). С. 50-75. doi:

Rüßmann M., Lorenz M., Gerbert P., Waldner M., Justus J., Engel P., Harnisch M. Industry 4.0: The future of productivity and growth in manufacturing industries. Boston Consulting Group. 2015. 20 р.

Big Data Analytics Available: (last accessed 21.02.2019).

Taylor-Sakyi K. Big Data: Understanding Big Data. Available: (last accessed 16.02.2019).

Zikopoulos P. C., Eaton C., deRoos D., Deutsch T., Lapis G. Understanding Big Data. Analytics for Enterprise Class Hadoop and Streaming Data. Chicago: McGraw-Hill Osborne Media, 2011. 166 p.

Su X. Introduction to Big Data. Norges teknisk-naturvitenskapelige universitet. Available: (last accessed 16.02.2019).

Minelli M., Chambers M., A. Dhiraj. Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's Businesses. s.l: John Wiley & Sons, 2013. 205 p.

Саріогло В. Г. "Великі дані" як джерело інформації та інструментарій для офіційної статистики: потенціал, проблеми, перспективи. Статистика України. 2016. № 4. С. 12-19.

Самойленко Л. Б. Можливості та проблеми застосування технологій Big Data вітчизняними компаніями. Ефективна економіка. 2018. № 1. URL: (дата звернення: 15.02.2019).

Мінакова В. П. Актуальність використання моделі Big Data в бізнес-процесах. Економіка і суспільство. 2017. Вип. № 10. С. 892-896.

Орлов О. В. Великі дані у публічному управлінні: технології майбутнього. Державне будівництво. 2016. № 1. С. 1-11.

How companies are using big data and analytics. McKinsey & Company. Available: (last accessed 16.02.2019).

Industry 4.0: The Future of Productivity and Growth in Manufacturing Industries. The Boston Consulting Group. Available: (last accessed 12.02.2019).

Big Data Business Impact: Achieving Business Results through Innovation and Disruption. Big Data Executive Survey 2017. Executive Summary of Findings. NewVantage Partners LLC. Available: (last accessed 26.01.2019).

Big Data Analytics Market Study. Wisdom of Crowds Series. Available: (last accessed 11.02.2019).

Analytics comes of age. McKinsey & Company. Available: (last accessed 11.02.2019).

Forecast of Big Data market size, based on revenue, from 2011 to 2027 (in billion U.S. dollars). Statista. The Statistics Portal. Available: (last accessed 21.01.2019).

Big Data 100. CRN. Available: (last accessed 26.01.2019).

Big Data 100. CRN. Available: (last accessed 26.01.2019).

Big Data 100. CRN. Available: (last accessed 26.01.2019).

Alteryx announces fourth quarter and full year 2017 financial results. ALTERYX, INC. Available: (last accessed 22.01.2019).

Alteryx announces first quarter 2018 financial results. ALTERYX, INC. Available: (last accessed 22.01.2019).

Quarterly revenue of Amazon Web Services from 1st quarter 2014 to 1st quarter 2018 (in million U.S. dollars). Statista. The Statistics Portal. Available: (last accessed 22.01.2019).

Time to establish a modern, fair and efficient taxation standard for the digital economy. Communication from The Commission to The European Par-liament and The Council. COM (2018) 146. Brussels, 21.3.2018. 11 р.

Big Data. Statista. The Statistics Portal. Available: (last accessed 22.01.2019).

Data and Analytics Predictions Through 2021. URL: (last accessed 09.02.2019).

Worldwide Big Data and Analytics 2017-2021 Forecast: Market Opportunity by Industry. URL: (last accessed 16.01.2019).

Big Data. URL: (last accessed 11.02.2019).

Big Data. Wikibon, Inc. URL: (last accessed 11.02.2019).

Hammer C. L., Kostroch D. C., Quirós G., STA Internal Group. Big Data: Potential, Challenges, and Statistical Implications. IMF Staff Discussion Note. URL: (last accessed 11.02.2019).

Big Data Vendor Benchmark 2015. A Comparison of Big Data Solution Providers. Т URL: (last accessed 17.01.2019).



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