Engineering Project Performance & Cost Control Transformation

An engineering firm managing multiple concurrent projects lacked structured visibility into project cost, schedule performance and resource allocation. Reporting was manually consolidated from project management systems, timesheets and finance platforms, creating delays, inconsistent KPI definitions and limited confidence in the numbers being presented to leadership.

Because information was fragmented across several operational systems, project managers and executives struggled to obtain a reliable view of performance across the organisation. Leadership had difficulty tracking real-time cost variance, milestone progress and engineering resource utilisation across projects. By the time performance issues were identified, corrective action was often reactive rather than proactive, increasing the risk of cost overruns, missed deadlines and inefficient use of engineering capacity.

Roar Data implemented a structured Power BI reporting framework designed specifically for engineering project environments. Project management systems, ERP financial data and engineering time tracking platforms were integrated into a unified data model that standardised performance metrics across all projects.

Executive dashboards were developed to provide real-time visibility into Schedule Performance Index (SPI), Cost Performance Index (CPI), margin per project, resource utilisation and milestone achievement rates. These dashboards allowed leadership to quickly identify emerging performance risks, analyse project trends and make informed decisions earlier in the delivery cycle.

Following implementation, project reporting preparation time was reduced by 55%. Schedule performance improved by 12%, while engineering rework was reduced by 18% due to earlier visibility of performance risks and more proactive project management oversight.