Mining Data Insights Platform
Transforming mining data with cloud-based analytics for cost management and supply optimization, enhancing data quality and workflows for global consulting leaders.
Services Rendered: Data Analytics ● App Innovation ●
Our client is a leading global advisor in the mining sector, renowned for delivering comprehensive strategic insights and innovative solutions. They partner with mining companies worldwide to enhance operational efficiency, drive sustainable growth, and navigate the ever-evolving market landscape. Their expertise spans various minerals and geographies, enabling them to offer tailored strategies that address both immediate operational issues and long-term strategic goals.
The Problem
Delivering comprehensive data insights for mining industry cost and supply management
They wanted to provide their clients, worldwide companies in the mining industry, with detailed visibility into the global mining market for a data-driven view of:
- Historical and forecasted costs
- Supply and demand analysis
- Commodity availability
- Individual mine models
In addition, the client wanted to productize the datasets for subscription-based sales to the mining industry.
The Solution
Modernizing Data Management and Reporting with Scalable Cloud Solutions
We built a web platform used for data entry, validation, and central management, enabling quick adaptability to new data demands, complex calculations, and global coverage. We also improved the architecture and data streams, from archaic models to multi-user modern formats in the cloud. This improved data quality, reporting, and business workflows. The solution is now a standard offering generating profits, and it’s also used for specialized EU environmental consulting.
Technology Stack: C#, .NET Core, React JS, Microsoft SQL Server, Azure DevOps, Azure Cloud, SharePoint, Power BI, CI/CD
The Results
We achieved the client's goal of global coverage for all commodities
The project resulted in a significant increase in data quality, enabling over 50 people to simultaneously feed data into the system, enhancing the calculation model to include multiple complex variables, providing access to visualizations for the full nickel, steel, and aluminum value chains, and ensuring quick adaptability to new data demands.
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