We helped a global technology company completely transform their resource management to achieve cost and time efficiency, real-time data backed capacity planning and forecasting. What was haphazard with increasing operational costs before, is now streamlined and data backed.

The organization was experiencing inefficiencies in resource management due to the absence of a well-defined resource pool containing essential information such as location, role, and other key attributes. Managers were often assigning generic resources to projects because the system lacked critical resource details required to accurately estimate project costs and schedules. In certain business units, resource allocation was still being managed manually using Excel and other disconnected tools, making it difficult to ensure that assigned resources were appropriately aligned with project requirements.

With no clear hierarchy or structure within the resource pool, resources weren’t also organized by business lines, roles, or objectives, with no mappings to specific work categories. Without correct classifications, resource managers had limited ability to filter, search, or allocate resources efficiently and effectively. This impacted reporting, forecasting, and the ability to measure alignment with strategic objectives. Named resources were not consistently tracked, with no defined objectives or performance indicators existing within the system.  

The client needed structured resource data to support their resource planning, reduce manual effort, optimize time tracking, and gain real-time visibility into supply and demand, which in turn improved productivity, cost control, and staffing efficiency