Application of the BigData technologies to optimize production processes in the Russian mining industry: analysis of implementation and efficiency

The article presents a comprehensive analysis of using the BigData technologies to optimize production processes in the Russian mining industry during the period from 2015 to 2024. The main trends and areas of the BigData application, technical and organizational solutions used, barriers and economic effects of their implementation are investigated using an extensive empirical base, including company data, industry surveys and expert assessments. An interdisciplinary approach was applied that combines the methods of statistical analysis, case studies, expert interviews and economic and mathematical modeling. The key success factors of the BigData projects in various segments of the mining industry were identified, and the drivers and barriers of digital transformation of the industry were determined. It is shown that implementation of the BigData leads to a significant increase in productivity, cost reduction and improved safety of mining operations. Recommendations on spreading the best practices were developed and promising directions of the BigData development were justified in conditions of import substitution and transition to Industry 4.0. The results of the study are of high value for the academic community, public policy in the field of digitalization and management practices of mining companies.