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The prospect of developing a data driven approach in the Russian economy

https://doi.org/10.26425/1816-4277-2025-2-127-134

Abstract

The purpose of the study is to identify the potential for implementing the data driven approach in the economic environment in Russia, as well as to identify the key barriers and form methodological and practical recommendations for implementing the approach in organizations. The research methodology is based on general scientific methods application, such as theoretical and comparative analysis, systematization, and synthesis. It has been concluded that for full-fledged implementation of data driven approach it is necessary to carry out a sufficiently large number of changes in the direction of digitalization. The analysis of population and business digitalization has shown that, despite the high rate of use of digital services among them, the level of data driven technologies implementation in organizations remains low. The key obstacles to the transition to a data-driven approach and ways to overcome them have been identified. It has been revealed that the process of implementing the approach in organizations of different industries faces a number of limitations, but the basic principles remain unchanged, as well as the fact that the approach implementation can significantly improve organization’s efficiency. The authors formulate an idea of current options, opportunities, and advantages of integrating data driven methodology in Russian organizations. 

About the Author

P. D. Krotov
Avito Tech LLC
Russian Federation

Pavel D. Krotov – Senior Analyst, Data Analytics Lecturer

Moscow

 



References

1. Abashkin V.L., Abdrakhmanova G.I., Vishnevsky K.O., Gokhberg L.M. Digital economy indicators: 2024. Moscow: Higher School of Economics; 2024. (In Russian).

2. Awan U. et al. Big data analytics capability and decision-making: The role of data-driven insight on circular economy performance. Technological Forecasting and Social Change. 2021;168:120766. http://doi.org/10.1016/j.techfore.2021.120766

3. Lebedev A.I. Theoretical analysis of the effectiveness of decision-making: a tree of goals and a tree of metrics. Humanities, social-economic and social sciences. 2023;2:208–210. (In Russian).

4. Medvedeva L.F., Arkhipova L.I. Methodological aspects of management based on the principles of Data-Driven marketing. Innovative Scientific Research. 2022;5-3(19):139–149. (In Russian). https://doi.org/10.5281/zenodo.7089350

5. Chernysheva Yu.G. Business analysis – new analytics for management. Accounting and Statistics. 2022;1(65):69–76. (In Russian). https://doi.org/10.54220/1994-0874.2022.65.1.006

6. Yuldasheva O.U., Pirogov D.E. Data Driven marketing: concept development. Practical marketing. 2021;11:3–9. (In Russian). http://doi.org/10.24412/2071-3762-2021-11297-3-9

7. Rukina P.A., Dubgorn A.S., Kalyazina S.E. Application of the data-driven concept in the management of medical organizations: Successful cases and steps for implementation in the Russian Federation. Economics and Management. 2022;11(28):1146–1154. (In Russian). http://doi.org/10.35854/1998-1627-2022-11-1146-1154

8. Teplova I.D., Zhuravlev I.A., Karmanova A.A. Data-driven solutions for the organization of comfortable and safe environment in city streets. Urbanized territories ecology. 2022;1:109–115. (In Russian). https://doi.org/10.24412/1816-1863-2022-1-109-115


Review

For citations:


Krotov P.D. The prospect of developing a data driven approach in the Russian economy. Vestnik Universiteta. 2025;(2):127-134. (In Russ.) https://doi.org/10.26425/1816-4277-2025-2-127-134

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ISSN 1816-4277 (Print)
ISSN 2686-8415 (Online)