Process Mining makes processes visible based on factual data from IT systems.
Symbol helps organisations to analyse process data, identify bottlenecks and substantiate improvement opportunities in a data-driven way.
Process Mining is a data-driven analysis method that gives organisations insight into how processes actually run. Instead of only working with assumptions or manually drawn process maps, Process Mining uses digital process data from systems such as ERP, CRM or workflow software. Symbol uses DISCO or CELONIS as analysis tools for this purpose.
By analysing event logs (data about who did what, when and in what order), the actual process is automatically reconstructed and visualised. This makes variations, bottlenecks, waiting times, deviations and inefficiencies visible.
Process Mining helps organisations to better substantiate process improvements. It makes it clear where processes deviate from the design, where delays occur and where improvement actions have the most effect.
Event logs show which activities were performed, when they took place and the order in which the process actually ran.
Process Mining is covered in the Lean (Six Sigma) Black Belt training or more extensively in the Process Mining masterclass.
Process Mining uses data from existing IT systems. Event logs show which activities were performed, when they took place and the order in which the process actually ran.
The factual process flow is automatically reconstructed and visualised. This reveals how the process runs in practice, including variations and alternative routes.
By analysing lead times, waiting times and deviations, bottlenecks and inefficiencies become visible. This helps teams to prioritise improvement opportunities in a targeted manner.
Process Mining makes improvement decisions better substantiated. Based on facts, teams can determine where processes deviate, which causes are involved and what actions are required.
Process Mining only delivers value when data insights are translated into concrete improvement actions. Reliable process data reveals how processes actually run, where delays occur and which deviations or workarounds exist. By assessing these insights together with employees, a realistic picture of causes and improvement possibilities is created.
Symbol helps organisations to collect, structure and analyse data from existing systems using DISCO or CELONIS. We then translate findings into targeted improvement projects. We often start with a pilot to demonstrate the power of Process Mining.
Within CIMM Level 3, reliable process data, periodic analyses and structural improvement actions are fully secured.
Symbol helps organisations to convert process data into insight, so that improvement opportunities become visible and process optimisation can be better substantiated. We often start with a Pilot to demonstrate the power of this technique.