A data-driven initiative to reduce mining safety incidents by identifying root causes and predicting risk patterns through advanced analytics.
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The client faced a persistent number of health and safety incidents that existing interventions failed to mitigate. There was a critical lack of visibility into the underlying root causes, with disparate data sources making it difficult to identify correlations between environmental factors, operational practices, and human behavioral patterns.
COOi Studios developed a refined data framework and predictive model using Microsoft Power BI. The solution integrated historical incident data with real-time environmental and operational metrics. By applying advanced analytics, we mapped behavioral patterns and environmental triggers, enabling the transition from reactive incident reporting to proactive risk management and targeted safety strategies.
