Mining Operations Performance Dashboard — LATAM

Mining Operations Performance Intelligence Platform — LATAM

The Mining Operations Performance Intelligence Platform represents a new generation of smart analytics and predictive intelligence for the industrial and natural resources sector. It offers mining companies across Latin America a 360° performance view that integrates every operational dimension — production, efficiency, maintenance, environment, safety, finance, and social responsibility — into a unified digital ecosystem.

A 360° Intelligent Performance View

This platform centralizes all key performance indicators of the mining value chain, enabling real-time visibility and cross-plant comparison. Users can track and compare production metrics, operational efficiency, and maintenance performance against goals and historical baselines. Every indicator — from recovery rate and throughput to energy intensity and cost per ton — is tied to organizational targets and automatically highlights variations, trends, and alerts.

The result is a comprehensive, data-driven environment that allows executives and engineers to measure progress, anticipate bottlenecks, and sustain continuous improvement.

Advanced Analytics and Machine Learning

At the core of the platform lies a suite of AI and machine learning models designed to bring foresight into operations. Predictive algorithms detect anomalies in equipment behavior and process data with a precision of up to 95% accuracy, allowing early intervention before downtime occurs.

The system also employs production forecasting models that predict output for the next 30 days based on historical performance and sensor patterns, giving management a reliable simulation of expected results.

Through a “What-If” simulation engine, users can test the impact of potential scenarios — such as unplanned downtime or maintenance shifts — and visualize their effects on productivity, OEE, and profitability.

Interactive and Technical Visualizations

Each dashboard is fully interactive, built with Power BI Embedded and optimized for real-time data integration. The solution features smart filters, benchmarking panels, and automated variance analysis. Dynamic visuals show correlations between production, maintenance, and environmental data, while drill-through navigation lets users explore data from the global level down to the asset level.

The Failure Decomposition module provides a flexible, hierarchical visualization that reveals the root causes of equipment issues by zone, failure type, and equipment ID — helping teams identify the 20% of causes behind 80% of failures.

Operational Excellence and Control

The system continuously monitors OEE (Overall Equipment Effectiveness) and its components — availability, performance, and quality — across all assets and operational zones. A dedicated Reliability Panel evaluates MTBF and MTTR, while energy consumption per ton and maintenance backlog indicators quantify operational efficiency. This enables managers to not only control but also simulate performance under different operating conditions.

Security, Environment, and Compliance

In safety and compliance, the Security Analytics Dashboard tracks audits, incidents, and workforce exposure. It classifies incidents by severity and department while monitoring training hours and audit completion rates. Predictive indicators forecast risk patterns to support a proactive safety culture.

Environmental modules integrate sustainability metrics such as greenhouse gas (GEI) emissions, water use per ton, tailings stability, and recycled water percentage. Anomaly detection models flag deviations in environmental compliance with precision, while ESG performance indicators consolidate environmental and social data into a single sustainability scorecard.

Financial and Profitability Insights

The Financial Performance Dashboard consolidates revenue, operating expenses, and EBITDA in real time, allowing users to simulate financial outcomes and evaluate cost efficiency by production line or process area. Predictive forecasting models estimate EBITDA margins based on changes in operational parameters, connecting technical efficiency to business profitability. This end-to-end visibility allows mining executives to translate operational improvements directly into financial gains.

Social Responsibility and ESG Intelligence

One of the platform’s distinctive features is its Social Responsibility and ESG module, integrating GIS visualizations to track community engagement, investments, and social license metrics geographically. It enables organizations to monitor regulatory compliance, project impact, and community satisfaction levels, while natural-language smart labels automatically interpret and describe the implications of each metric — allowing executives to understand complex ESG data in clear, actionable language.

Unlike conventional dashboards, Tsubaki Systems’ platform is a living intelligence framework — built to evolve with the client’s data maturity. It combines AI-driven prediction, simulation, and narrative analytics in a single architecture.

Built on Microsoft Azure and Dataverse, it ensures scalability, data governance, and integration across ERP, maintenance, IoT, and environmental systems.

What differentiates Tsubaki Systems is not only the technology, but the precision-engineered methodology — every model and metric is aligned with ROI, operational impact, and decision speed. Our dashboards are not static visualizations; they are intelligent systems that explain, simulate, and transform how industrial leaders make decisions.