CSCapacity decision support
A global engineering group had bought more cores the year before, and it had worked: queue times fell by three quarters while the workload grew. The open question was how long that would hold. We built a simulation on their own job logs, proved it by having it predict a year it had never seen, and turned the next hardware decision into a single number the business owns.
A global engineering group running large-scale simulation workloads - structural and crash analysis, fluid dynamics, and the overnight batch. Identity withheld at the client's request.
Engineering was asking for more cores. Average utilisation read 54%, which made the case look weak. Nobody could price the next purchase.
A discrete-event simulation that replays the real job trace under a chosen growth rate and core count, on a medallion pipeline inside the client's own warehouse.
A Power BI report the committee drives itself, a companion screen that plays a scenario out visually, and a published record of where the model has and has not been tested.