Today, almost all business processes are supported by at least one IT system. With BIC Process Mining, you can make excellent use of these data volumes and generate a process model that not only provides you with detailed insights into your workflows, but at the same time forms the basis for many other comprehensive analyses of your business processes.
BIC Process Mining enables you to analyze your business processes in greater depth using your digital footprints. For this purpose, the discovery tool uses the collected data in event logs, which are recorded every day by your IT system in your organization, for example when an invoice is issued. Business Process Discovery is a basic technique in process mining and serves as a basis for any further analysis. An as-is process model is generated from the available event logs, which visually depicts the current course of the work steps and thus shows how the business processes in your company actually run. Business Process Discovery in BIC Process Mining is based on Split Miner, the most modern algorithm technique for the systematic discovery of processes on the market. Mapping the underlying social network with all people involved in the process steps is possible as well with the automated process discovery.
With BIC Process Mining, you thus create transparency in your process documentation, can directly identify bottlenecks and determine where time-consuming process loops take place. This discovery automation helps you to better understand your business processes and to be able to make data-driven process optimizations in a next step.
With this setting you get a first insight into your event log. The overview shows you the number of process cases, the number of different process variations, the number of events and the number of different activities the system could detect in this process.
Using simple sliders, you can adjust the number of connections (arcs) or nodes in seconds. In the BPMN model, this allows you to control the display of parallel workflows. You also have the option to arrange the cases in a specific order (for example, from the most frequent to the least frequent run).
Hospitals and healthcare facilities have been under increasing pressure, and not just since the Covid-19 pandemic. An optimized understanding of patient movement serves as an important basis for avoiding re-admissions after a supposedly successful discharge. Using Business Process Discovery, a hospital in Melbourne, Australia, was able to identify factors and analyze processes that increasingly lead to a later re-admission and adjust its business processes accordingly.
Benefit from automated process discovery with BIC Process Mining and see how the processes in your company really play out. Because only if you know your processes very well, you can make process improvements and thus increase the efficiency and digital transformation of your entire company in the long term.
The advantages of automated process discovery with BIC Process Mining:
- Easy conversion of process data into process models
- Detailed insight into the real-time process flow
- Transparency in all business processes
- Shorter time to value without time-consuming modeling workshops
- Ideal basis for further analyses
- Take subsequent optimization measures based on data