Business Intellingence in the Mining Industry: A Strategic Framework for Operational Excellence and Sustainable Growth

This article presents a comprehensive framework for leveraging Business Intelligence (BI) to drive operational excellence and promote sustainable growth in the mining industry. I argue that BI, which goes beyond simple reporting, is a vital strategic tool for managing the sector's inherent volatility, changing regulatory environment, and rising demand for sustainable practices. My proposed framework combines advanced data collection, modern Extract, Load, Transform (ELT) pipelines, real-time predictive analytics, and advanced visualization techniques. I show how this framework can be applied across key mining scenarios, including real-time operational monitoring, predictive maintenance, resource forecasting, and integrated financial, environmental, and strategic decision-making. Drawing on current research and industry trends, I discuss the measurable benefits, strategic advantages, and contributions to Environmental, Social, and Governance (ESG) objectives. Additionally, I highlight important organizational, process, and technological challenges involved in BI implementation and provide practical recommendations for successful adoption, stressing the importance of strong data governance, interdisciplinary teamwork, and a focus on explainable Artificial Intelligence (AI). This work positions BI as essential for the future of mining, supporting data-driven decisions that improve productivity, lower costs, and promote long-term sustainability.