Development of an Advanced Data Monitoring and Decision Support Application for Mineral Extraction Optimization

The client operates in the energy and natural resources sector with mining operations located internationally. They experience difficulties in monitoring complex solvent extraction processes, managing vast datasets, executing complex algorithms rapidly, and providing timely recommendations to operational staff across multiple geographic locations. Existing systems lack user-friendly interfaces, scalability, and real-time analytics, leading to suboptimal mineral recovery and higher resource consumption.

A medium to large-scale mining corporation seeking to enhance resource efficiency and operational decision-making through real-time data analytics and automation.

• Create an intuitive, easy-to-use application for monitoring solvent extraction processes across multiple sites.
• Enable automated data collection from various sources and perform complex analytics in real time.
• Implement decision tree algorithms to generate operational recommendations dynamically.
• Ensure the system scales efficiently to handle increasing data volume and user load.
• Facilitate multilingual support to accommodate international teams and improve usability.
• Enhance operational efficiency and mineral recovery rates by providing actionable insights instantly.

• Real-time data ingestion from multiple data sources (sensors, databases, external APIs).
• Data analytics engine capable of processing thousands of data points simultaneously.
• Implementation of decision trees to analyze data and generate operational suggestions.
• Automated notification system for pushing operating recommendations to frontline staff.
• Scalable architecture to support growing datasets and user base.
• User interface featuring a smooth, user-friendly design with multilingual support (English and Spanish).
• Secure access controls and data safety protocols.

• Sensor data feeds for real-time operational metrics
• Data analytics tools for complex calculations
• Notification and messaging systems for recommendations
• Multilingual support modules

• System must support rapid data processing with minimal latency (e.g., under 2 seconds per query)
• High scalability to accommodate increasing data volume and users
• Robust security measures for sensitive operational data
• Availability of 99.9% uptime to ensure continuous operations
• Ease of maintenance and scalability for future feature expansion

The implementation of this system is expected to significantly improve resource utilization efficiency, enabling faster and more accurate operational decisions. Anticipated benefits include increased mineral recovery rates, reduced resource consumption, and enhanced operational agility across multiple international sites. The scalable, user-friendly platform aims to empower staff with real-time insights, ultimately leading to measurable improvements in operational productivity and sustainability.