Kea

Process mining and analytics tools analyze event log data to uncover actual operational workflows, identify bottlenecks, rework loops, and inefficiencies by visualizing detailed process maps, case variants, and activity sequences. Main features include automatic process discovery from system logs such as CSV or XES files, visualization of process flows without requiring predefined models, clustering of cases based on real execution paths, and real-time filtering and exploration of workflows directly on local machines, facilitating root cause analysis and performance optimization for business analysts, operations managers, and process improvement teams aiming to improve operational efficiency and reduce costs.

Kea can be found in Application Monitoring & Observability categories.