DIGITIZATION

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Original paper

UDC 004.89:622.33:658.5.012.7:004.6 © I.A. Rozhdestvenskaya, N.A. Zaval'ko, K.E. Lukichev, A.V. Zubenko, A.M. Laffakh, 2025

ISSN 0041-5790 (Print) • ISSN 2412-8333 (Online) • Ugol' – Russian Coal Journal, 2025, № 1, pp. 82-92

DOI: http://dx.doi.org/10.18796/0041-5790-2025-1-82-92

APPLICATION OF BIG DATA TECHNOLOGIES TO IMPROVE SUSTAINABILITY AND EFFICIENCY OF THE COAL INDUSTRY IN CONDITIONS OF DIGITAL TRANSFORMATION OF THE INDUSTRY

Authors

I.A. Rozhdestvenskaya, N.A. Zaval'ko, K.E. Lukichev, A.V. Zubenko, A.M. Laffakh

Financial University under the Government of the Russian Federation, Moscow, 125993, Russian Federation, e-mail: IARozhdestvenskaya@fa.ru

Authors Information

Rozhdestvenskaya I.A. – Doctor of Economic of Sciences, Professor of the Department of State and Municipal Management, Financial University under the Government of the Russian Federation, Moscow, 125993, Russian Federation, e-mail: IARozhdestvenskaya@fa.ru
Zaval'ko N.A. – Doctor of Economic of Sciences, Professor of the Department of State and Municipal Management, Financial University under the Government of the Russian Federation, Moscow, 125993, Russian Federation, e-mail: nazavalko@fa.ru
Lukichev K.E. – PhD (Law), Associate Professor of the Department of State and Municipal Management, Financial University under the Government of the Russian Federation, Moscow, 125993, Russian Federation, e-mail: kelukichev@fa.ru
Zubenko A.V. – PhD (Economic), Associate Professor of the Department of State and Municipal Management, Financial University under the Government of the Russian Federation, Moscow, 125993, Russian Federation, e-mail: ZubenkoAV@yandex.ru
Laffakh A.M. – Assistant of the Department of State and Municipal Management, Financial University under the Government of the Russian Federation, Moscow, 125993, Russian Federation, e-mail: AMLaffakh@fa.ru

Abstract

This research focuses on application of the big data technologies to improve sustainability and efficiency of the coal industry in conditions of digital transformation of the industry. Key trends and effects of applying advanced analytics in coal mining companies are identified based on the literature analysis. A conceptual architecture of the big data collection and processing system has been developed and adapted to the specific features of the coal industry. A set of original analytical models has been proposed to optimize key business functions from geological exploration to sales of coal products. A significant potential of big data application to improve industrial and environmental safety of coal mining has been empirically justified. The developed toolkit was validated within the framework of a pilot project using a case study of a large coal company, which confirmed its high economic and technological efficiency. The research results create a scientific and practical basis for large-scale digitalization of the coal industry based on advanced big data analytics. The development of competencies and culture of using big data is positioned as a key factor of productivity growth, environmental friendliness and competitiveness of coal companies within the framework of Industry 4.0.

Keywords

Big data, advanced analytics, сoal industry, digital transformation, sustainable development, industrial safety, efficiency.

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For citation

Rozhdestvenskaya I.A., Zaval'ko N.A., Lukichev K.E., Zubenko A.V., Laffakh A.M. Application of big data technologies to improve sustainability and efficiency of the coal industry in conditions of digital transformation of the industry. Ugol'. 2025;(1):82-92. (In Russ.). DOI: 10.18796/0041-5790-2025-1-82-92.

Paper Info

Received December 3, 2024
Reviewed December 16, 2024
Accepted December 26, 2024