«The Art of Managing Data»: Data Governance and Analytical Culture in the Management System of High-Tech Companies
https://doi.org/10.26794/2304-022X-2026-16-2-136-145
Abstract
In the context of digitalization and the increasing complexity of software development processes, Data Governance is becoming a strategic priority for the development of Russian digital and high-tech companies. Drawing on recent studies in Business Intelligence and Data Governance, as well as empirical evidence from the implementation of Business Intelligence systems in software quality management and human resource analytics (HR analytics) within a telecommunications company, the authors substantiate an integrated model of data governance encompassing strategic, technological, and socio-cultural (human capital) levels, which constitutes the main objective of the study. The article conceptualizes the «art of managing data» as an instrument of strategic management and concludes that Data Governance should be understood not only as a technological framework but also as a socio-managerial process that shapes an organization’s decision-making culture. The findings of the study may be applied in the development of corporate digital governance strategies and the design of Data Governance systems
About the Authors
E. N. Sheremetyeva
Samara State University of Economics
Russian Federation
Russian Federation
Elena N. Sheremetyeva – Dr. Sci. (Econ.), Prof. of the Department of Applied Management
Samara
I. S. Zaretskii
Samara State University of Economics
Russian Federation
Russian Federation
Ilya S. Zaretskii – postgraduate student of the Department of Applied Management
Samara
References
1. Chatterjee S., Chaudhuri R., Gupta S., Sivarajah U., Bag S. Assessing the impact of big data analytics on decision-making processes, forecasting, and performance of a firm. Technological Forecasting & Social Change. 2023;196:122824. DOI: 10.1016/j.techfore.2023.122824
2. Sivarajah U., Kumar S., Kumar V., Chatterjee S., Li J. A study on big data analytics and innovation: From technological and business cycle perspectives. Technological Forecasting & Social Change. 2024;202:123328. DOI: 10.1016/j.techfore.2024.123328
3. Bernardo B. M.V., Mamede H. S., Barroso J. M.P., Duarte dos Santos V. M.P. Data governance & quality management — Innovation and breakthroughs across different fields. Journal of Innovation & Knowledge. 2024;9(4):100598. DOI: 10.1016/j.jik.2024.100598
4. Wong M., Norbaini S. F. The data governance: A comprehensive literature review from professional viewpoints. In: Silhavy R., Silhavy P., eds. Research perspectives on software engineering and systems design (CoMeSySo 2024). Cham: Springer; 2025:491-510. (Lecture notes in networks and systems. Vol 1491). DOI: 10.1007/978-3-031-96380-3_42
5. Den Rooijen R., Munsie W., Bean R. The chief data officer role: What’s next. MIT Sloan Management Review. February 24, 2025.
6. Sheremetyeva E. N., Adgizalova A. K., Popov Yu. G. Methodological aspects of data management at the enterprise. Upravlencheskie nauki = Management Sciences. 2025;15(2):116-129. (In Russ.). DOI: 10.26794/2304-022X-2025-15-2-116-129
7. Zyryanov M. Development of data management in Russia: Factors and development vectors. Otkrytye sistemy. SUBD = The Open Systems Journal. DBMS. 2024;(1):26-32. (In Russ.).
8. Stepanov N. V., Mikhailov B. A. Innovative approaches to data management and analytics. Teoriya i praktika sovremennoi nauki = Theory and Practice of Modern Science. 2025;(2):101-107. (In Russ.).
9. Petrovskaya A. V., Raevsky K. E. Business analytics tools for small and medium businesses in Russia. Estestvenno-gumanitarnye issledovaniya = Natural Humanitarian Studies. 2025;(3):905-909. (In Russ.).
10. Glukhov D. I. BI-analytics as a tool for enhancing competitiveness. Industrial’naya ekonomika = Industrial Economics. 2024;(S2):28-34. (In Russ.). DOI: 10.47576/2949-1886.2024.34.76.004
11. Ivanenko V. I. Application of Big Data technologies in management decision-making and improving business efficiency. In: Proc. 9th Int. sci.-pract. conf. (Ekaterinburg, April 17–18, 2023). Vol. 1. Ekaterinburg: Ural Federal University; 2023:31-36. (In Russ.).
12. Smirnov N. Data governance — part of corporate culture. Otkrytye sistemy. SUBD = The Open Systems Journal. DBMS. 2025;(2):25-27. (In Russ.).
13. Acev D., et al. Systematic analysis of data governance frameworks and their relevance to data trusts. Management Review Quarterly. 2025. DOI: 10.1007/s11301-025-00545-1
14. Langer B. Understanding data & analytics maturity: A systematic review of maturity model composition. Schmalenbach Journal of Business Research. 2025;77(2):205-227. DOI: 10.1007/s41471-024-00205-2
15. Grigor’ev S.V., Leskova T. S. Implementing BI for data analysis in the quality management system of software development at the enterprise. In: Proc. 17th Int. sci.-pract. conf. (Moscow, March 30, 2023). Irkutsk: Irkutsk National Research Technical University; 2023:350-359. (In Russ.).
16. Fedorova A. E., Khoroshikh A. A. Assessment of the possibilities and limitations of HR analytics implementation in the personnel management of a telecommunications company: Case study. Vestnik Omskogo universiteta. Seriya: Ekonomika = Herald of Omsk University. Series: Economics. 2023;21(3):69-77. (In Russ.). DOI: 10.24147/1812-3988.2023.21(3).69-77
17. Szukits Á., Móricz P. Towards data-driven decision making: The role of analytical culture and centralization efforts. Review of Managerial Science. 2024;18(10):2849-2887. DOI: 10.1007/s11846-023-00694-1
18. Jahnke N., Otto B. Data catalogs in the enterprise: Applications and integration. Datenbank Spektrum. 2023;23(2):89-96. DOI: 10.1007/s13222-023-00445-2
19. Al Wahshi J. J., Foster J., Abbott P. An investigation into the role of data governance in improving data quality: A case study of the Omani banking sector. In: New horizons in digitally united societies. Proc. 30th Europ. conf. on information systems (ECIS 2022). (Timișoara, June 18–24, 2022). Atlanta, GA: Association for Information Systems; 2022:1-16.
20. Hartwell C. A., Korovkin V. Strategizing on the riverbank: State-owned enterprises, paradoxes, and the success of Sberbank. Business History. 2024;67(2):521-550. DOI: 10.1080/00076791.2024.2382965
21. Walsh M. J., McAvoy J., Sammon D. The data governance journey in practice: Insights from case study research. Information Systems Management. 2025;42(3):471-488. DOI: 10.1080/10580530.2025.2477459
22. Naguib H. M., Kassem H. M., Naem A. E. The impact of IT governance and data governance on financial and nonfinancial performance. Future Business Journal. 2024;10:15. DOI: 10.1186/s43093-024-00300-0
Review
For citations:
Sheremetyeva E.N., Zaretskii I.S. «The Art of Managing Data»: Data Governance and Analytical Culture in the Management System of High-Tech Companies. Management Sciences. 2026;16(2):136-145. (In Russ.) https://doi.org/10.26794/2304-022X-2026-16-2-136-145
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