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Automated Timesheet Management System for Mining Operations
  1. case
  2. Automated Timesheet Management System for Mining Operations

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Automated Timesheet Management System for Mining Operations

spiria.com
Mining

Operational Inefficiencies in Manual Data Management

Repetitive manual data entry and transcription tasks (particularly timesheets) across drilling sites and administrative departments led to time wastage, error risks, and reduced operational efficiency. Legacy processes hindered scalability and real-time data accessibility.

About the Client

A leader in diamond exploration drilling in Eastern Canada, specializing in remote-site operations using helicopter-portable equipment. Part of Groupe Rouillier, focused on safety, environmental compliance, and social responsibility.

Key Goals for Process Modernization

  • Automate manual timesheet data entry and validation processes
  • Reduce human error in payroll and reporting workflows
  • Implement a scalable, modular system adaptable to evolving needs
  • Improve cross-departmental data accessibility and collaboration

Core System Capabilities

  • Daily drilling hours entry by supervisors via intuitive interface
  • Automated data validation rules to prevent input errors
  • PDF report generation for payroll processing
  • Role-based user permissions (supervisors, payroll team)
  • Modular architecture for future feature integration

Technology Stack Requirements

React
PHP
MySQL

System Integration Needs

  • Existing payroll systems
  • Legacy operational tools

Operational Constraints

  • High scalability for future feature additions
  • Offline data entry capability for remote locations
  • Enterprise-grade data security and access controls
  • Cross-platform compatibility with existing hardware

Expected Business Outcomes

Streamlined payroll workflows with 70% reduction in manual entry time, error rates reduced by 90%, and improved compliance with audit trails. Scalable architecture ensures adaptability to future operational expansions while maintaining data integrity across remote drilling sites.

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