Practical Technology Solutions for Mining Operations.

Mining Data Analytics and Power BI

Present mine operations information through clear dashboards, defined measures, and reporting models.

• Production and material movement dashboards
• Plan-versus-actual reporting
• Equipment utilization and availability analysis
• Fuel and operating-hours analysis
• Crusher, plant throughput, ore quality, and blending analysis where suitable data is available
• Cost, productivity, KPI definitions, and reporting models

Technology

Power BI, DAX, Power Query, Excel, SQL Server

Excel Automation and Engineering Reporting

Make recurring operational reporting more consistent with maintainable spreadsheet tools and automation.

• Automated daily and monthly reports
• Excel VBA tools and UserForms
• Data import, transformation, and consolidation
• Operational calculation templates
• Shift reports, production summaries, validation, and reconciliation utilities
• Excel-based planning and tracking tools

Technology

Excel, VBA, Power Query, formulas, PivotTables

Database Development and Integration

Structure and connect operational records to support dependable workflows and reporting.

• Microsoft Access operational databases
• SQL Server data repositories, queries, and stored procedures
• Centralization of spreadsheets and recurring reports
• Structured data entry, validation, and import/export utilities
• Integration between existing files, databases, and supported APIs

Technology

Microsoft Access, SQL Server, T-SQL, VBA, APIs

Equipment Performance and Maintenance Analytics

Use suitable equipment and maintenance records to identify trends and provide a clearer operational view.

• Operating-hours, availability, and utilization reports
• Breakdown, downtime, and planned-versus-unplanned maintenance analysis
• Fuel consumption per operating hour or unit of production when suitable data is available
• Maintenance trends and equipment performance dashboards

This is a data analysis and software service—not physical maintenance, machinery inspection, or statutory equipment certification.

Production, Drilling, Crushing, and Plant Reporting

Bring together production and process records in reports for shift, daily, or management review.

• Production tracking and shift-level summaries
• Drill-hole and drilling productivity data analysis
• Blasting consumption and result tracking using authorized records
• Crusher throughput, downtime, plant production, and recovery reporting where suitable data exists
• Material movement and overburden reporting

Engineering designs, blasting approvals, and regulated operational decisions remain with appropriately qualified and authorized personnel.

Ore Movement, Blending, and Reconciliation

Build analytical and decision-support tools from suitable movement, sampling, laboratory, and schedule data.

• Source-to-destination material movement reports
• Ore and waste quantity reconciliation
• Grade or quality reconciliation using available sampling and laboratory data
• Ore blending calculations and tracking tools
• Schedule-versus-actual, inventory, and stockpile tracking where data is available

These tools support reporting and analysis; they do not replace mine planning software or professional engineering validation.

Workflow Automation and Data Integration

Reduce repetitive handling by automating suitable, repeatable information flows.

• Automated collection from supported data sources
• File processing and report generation
• Repetitive desktop workflow automation
• API-based integration where access is available
• Data-quality checks and exception reports
• Power Automate and Python utilities for suitable workflows

Custom Mining Software and Decision-Support Tools

I can assess a specific operational or reporting problem and propose a fit-for-purpose solution using Excel, Access, SQL Server, Power BI, Python, or a combination.

• Custom production trackers and cost or productivity calculators
• Operational exception reports and data consolidation tools
• Management reporting packages and prototype analytics tools

The appropriate solution depends on requirements, data availability, access permissions, and technical feasibility.