
Explore how process mining uses event logs to reveal real process flow. Identify variants, handoffs, and bottlenecks to improve conformance, performance, and standardization.
Access the process intelligence module in SAP Signavio, import a dataset, map case id, activity, and end timestamp, resolve formatting issues, and start investigation to explore variants and path volumes.
Learn how to map an ideal process from the process intelligence module to an existing process model in SAP Signavio, drag and drop activities, handle mismatches, and finalize mapped events.
Learn to create a process investigation in the process intelligence module, visualize the flow and variants, and use automated insights and widgets to monitor average cycle time.
Create and customize widgets in SAP Signavio process mining to monitor average cycle time, generate insights from attributes, and arrange visualizations for investigating loan goal performance.
Learn to structure a process investigation by creating new investigations and chapters, add widgets such as diagrams and variant explorer, and link BPMN models in investigation settings.
Share your process investigations in SAP Signavio by adjusting visibility with the lock icon and selecting view or edit access, then grant access via data views and the collaboration hub.
Generate a BPMN model from event logs by creating an investigation, mapping activities, and using variant explorer to analyze top paths, then compare the generated BPMN with the process model.
Compare the Bpmn model created using event log with the ideal model in the process modeler to reveal nonconformances, hotspots, and drive process improvement.
This detailed investigation shows how to extend a SAP Signavio process mining session with widgets for breakdowns, cycle time distribution, and correlation to identify outliers and special or common causes.
Learn to connect SAP Signavio Process Intelligence with your data sources, build ETL pipelines, define data sources, integrate and transform data, and link data models to processes for process investigation.
Process Mining is the methodology which helps to understand process the way it happens in real environment.
Process mining is (Also called as Process Intelligence) helps to create investigations based on actual performance. This is done on actual workflow data in various IT systems such as SAP. Service Now etc.
An important aspect of any business process management (BPM) discipline is the discovery phase. This is where you gather information about your processes—what’s working well, and what’s not. It helps pinpoint where optimization potential lies. Traditional methods of discovery, however, such as interviews with business application users, tend to be manual and error-prone.
Process mining provides a much more accurate, effective, and data-driven approach to discovery. This guide illustrates the steps necessary to carry out a successful process mining project and explains how to use the resulting learnings to drive process improvement as part of a broader BPM strategy.
There are three main classes of process mining techniques: process discovery, conformance checking, and process enhancement.
Processes are the lifeblood of any business. Whether they are carried out by people, automated or both, most of those processes leave digital traces. Process mining uses these digital traces or event logs to visualize how each process actually functions, in comparison to how the process is intended to function. Process mining helps ‘paint a picture’ of what is really happening in your business.
By mining event logs data — instead of using interviews and estimates — process mining reveals where workarounds, shadow processes, bottlenecks and compliance issues occur and plays a critical role in improving business operations and reducing risks.