graduate student from 01.01.2022 to 01.01.2025
Russian Federation
The article explores the features of information and analytical support for managerial decision-making in industrial enterprises during the era of strategic transformation (Industry 4.0 and the digital economy). It is demonstrated that the modern Russian metallurgical industry is undergoing a fundamental shift in its business paradigm, necessitating the adoption of new tools for data collection, storage, and processing. Special attention is paid to the role of integrated systems in enhancing the effectiveness of strategic transformations and achieving key performance indicators (KPIs) during the digitalization of production processes. The article presents examples of successful implementation of new methods (Severstal, NLMK, PJSC MMK), examines the main challenges of implementation (import substitution, data integration, staff adaptation), and outlines future prospects (automation, integration of information technology systems, artificial intelligence). It is recommended to initiate digital transformation through pilot projects, the development of a data strategy, and the gradual implementation of an integrated digital platform.
strategic transformation, metallurgical industry, information and analytical systems, business analytics, ERP systems, Big Data
1. Belinskaya E.A. Digital transformation in metallurgy: a radical change in the business paradigm. Connect-WIT, December 16, 2024. (in Russian)
2. Vlasyuk M.B. Import substitution as a catalyst for the digital transformation of industry. Natsional'naya komp'yuternaya korporatsiya [National Computer Corporation], April 22, 2025. (in Russian)
3. Korotkova T. NLMK built an information system based on SAP ERP. CNews, 2010. (in Russian)
4. Kulagin D. Data Lake: why NLMK built a knowledge lake. ComNews, 2020. (in Russian)
5. Metallosnabzhenie i sbyt [Metal Supply and Sales]. Digital twin of MMK’s Accounting Center / press release, 2025. (in Russian)
6. Nikolaeva E.V., Biryukova E.A. Study of digital transformation processes in Russian mining and metallurgical companies. π-Economy, 2023, vol. 16, no. 2, pp. 24–36. (in Russian)
7. Prokhorova I.S., Ustinov V.S., Elkova A.V. Digital maturity of the Russian metallurgical industry: drivers and growth challenges in new geopolitical conditions. Part I. Assessments of the innovative potential of digital transformation. Vestnik universiteta [University Bulletin], 2023, no. 11, pp. 61–69. (in Russian) DOI: https://doi.org/10.26425/1816-4277-2023-11-61-69; EDN: https://elibrary.ru/CVYCRJ
8. Romanova O.A., Sirotin D.V. Digitalization of production processes in metallurgy: trends and measurement methods. Izvestiya Ural'skogo gosudarstvennogo gornogo universiteta [News of the Ural State Mining University], 2021, no. 3 (63), pp. 136–148. (in Russian) DOI: https://doi.org/10.21440/2307-2091-2021-3-136-148; EDN: https://elibrary.ru/YSRQSS
9. Sakhno D.V., Leontovich A.L. Severstal introduced business process intelligence technology. CNews, 2020. (in Russian)
10. Digitalization of production in the metallurgical industry: trends and technologies. Sber.Pro, 2024. (in Russian)
11. Chakalova Yu.A., Drugov V.Yu. Information and analytical support of strategic decision-making. Vestnik NTEU [Bulletin of NSTU], 2021, no. 5, pp. 34–42. (in Russian)
12. Shitikov O.V. Digital transformation of the Russian metallurgical complex: impact on financial indicators and development prospects. Zhurnal ekonomicheskikh issledovanii [Journal of Economic Research], 2024, no. 2, pp. 45–62. (in Russian)
13. Bandara F., Jayawickrama U., Subasinghage M., Olan F., Alamoudi H., Alharthi M. Enhancing ERP responsiveness through big data technologies: An empirical investigation. Information Systems Frontiers, 2023, vol. 26, no. 1, pp. 251–275. DOI: https://doi.org/10.1007/s10796-023-10374-w
14. Lu Y., Xu X., Wang L. Smart manufacturing process and system automation: A critical review of the standards and envisioned scenarios. Journal of Manufacturing Systems, 2020, vol. 54, pp. 24–40. DOI: https://doi.org/10.1016/j.jmsy.2020.06.010
15. Olan F., Arakpogun E.O., Suklan J., Nakpodia F., Damij N., Jayawickrama U. Artificial intelligence and knowledge sharing: Contributing factors to organizational performance. Journal of Business Research, 2022, vol. 145, pp. 605–615. DOI: https://doi.org/10.1016/j.jbusres.2022.03.008; EDN: https://elibrary.ru/IKABPD
16. Olan F., Jayawickrama U., Arakpogun E.O., Suklan J., Liu S. Fake news on social media: The impact on society. Information Systems Frontiers, 2022, vol. 26, no. 2, pp. 443–458. DOI: https://doi.org/10.1007/s10796-022-10242-z



