DCR Process Mining

What DCR Process Mining is

DCR Process Mining analyzes process logs to show activity and help organizations identify bottlenecks, inefficiencies, and rule violations. Its AI-driven engine supports DCR Process Intelligence, which provides activity-pattern overviews and lets users inspect individual process instances. The DCR Indicators dashboard summarizes performance and lists ten process inefficiencies alongside successful processes. Indicators prepares log data with the DCR process engine and summarizes poor-performance signals and other insights. Data can come from DCR process digitization or configured system connectors; named connectors include KMD Momentum and Schultz Fasit, while a KMD WorkZone connector exports case data in CSV format. Data without a standard connector can also be analyzed when its quality, volume, and compilation are suitable. DCR Indicators is offered as a subscription with real-time input for tracking performance over time, or as a one-off analysis intended to inform improvement initiatives. The engine is available as a C# DLL and a stateless REST API for Linux or Windows. DCR was founded in 2018 and is headquartered in Copenhagen, Denmark. Pricing is on request.