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Development of Mining Data Analytics Platform with Integrated BI Solutions

reenbit

Energy & natural resources

Information technology

Challenges in Mining Equipment Management and Data Utilization

Mining companies face difficulties in monitoring equipment wear/tear, optimizing mineral extraction processes, and transforming raw operational data into actionable business intelligence insights. Existing systems lack integration between equipment management and advanced analytics capabilities.

About the Client

South African startup specializing in data analytics automation for mining operations

Key Project Goals

Develop integrated equipment management application for vibrating screens
Create scalable data collection and BI platform with Power BI integration
Implement role-based security for sensitive operational data
Establish foundation for ongoing platform enhancements

Core System Requirements

Real-time equipment monitoring with wear/tear analysis
Dynamic digital form builder for data collection
Configurable Power BI reporting dashboards
Azure AD-based role management system
SharePoint integration for document management

Technology Stack

.NET

Angular

Azure Active Directory

Azure Storage Account

Azure Functions

Power BI Embedded

Azure Data Factory

System Integrations

SharePoint integration
Power BI Embedded analytics
Azure cloud infrastructure

Non-Functional Requirements

High availability (99.9% uptime)
Role-based access control (RBAC)
Data encryption at rest and in transit
Scalable architecture for 1000+ concurrent users
Response time under 2 seconds for 95% of requests

Expected Business Impact

Enable 30+ mining clients to optimize equipment utilization through predictive maintenance, reduce operational downtime by 20-30%, and improve data-driven decision making through interactive BI dashboards. Platform scalability will support expansion into energy sector markets.