Monitoring operational KPIs, e.g., project margin variance, revenue write-off percentage, time capture completeness.

Real-time project health monitoring with instant alerts on deviations in budget, progress, and other indicators.

Benchmarking project performance against historical results and segmenting projects (e.g., by employee, department) to easily identify success and inefficiency drivers.

Predictive analytics to forecast project resource requirements, timelines, and possible constraints.

Suggestions on resource allocation optimization based on task type, employees' skills, current workload, performance, and more.

Pinpointing projects with high returns potential to efficiently prioritize resource allocation.