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Analytics Center of Excellence for a Mining Operation
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MiningGlobal Company

Analytics Center of Excellence for a Mining Operation

Client:Global Iron Mining Leader

R$ 32M
Annual recurring savings
22%
Productivity increase
65%
Analysis time reduction

One of the world's largest iron mining companies, with operations across 8 mining complexes and more than 40,000 employees, needed to radically transform its analytics management.

The Challenge

The company operated with siloed data across 8 different mines, each running incompatible legacy systems — SAP ERP in different versions, proprietary SCADA systems, and non-standardized departmental spreadsheets. Monthly consolidation of operational results took 3 weeks and involved dozens of analysts. ESG reports for investors were built manually, with a high risk of error and no traceability. At the same time, the absence of real-time operational KPIs prevented rapid corrective action in mining and processing fronts.

The Solution

We designed and implemented a modern data architecture based on Azure Synapse Analytics with a corporate data-mesh pattern — each operational domain publishing its data under standardized interface contracts. On that foundation, we built 25+ executive and operational dashboards in Power BI Premium covering production, cost, maintenance, and sustainability KPIs. An automated ESG reporting pipeline was developed with Power Automate, eliminating the monthly manual process. The program included forming an internal Center of Excellence with 25 analysts certified across the full technology stack.

Results

Real-time data consolidation from all 8 operations with under 15-minute latency
90% automation of regulatory and ESG reports, cutting the cycle from 3 weeks to 2 hours
R$ 32M in annual recurring savings through process optimization surfaced by the dashboards
22% productivity increase in mining fronts through anticipatory corrective actions
Creation of a Center of Excellence with 25 trained and certified analysts
45% reduction in energy consumption at processing plants through data-driven optimization

Technology Stack

Power BI PremiumAzure Synapse AnalyticsPower AutomateDatabricksSAP BW/4HANAAzure Data Factory