Process mining is the smartest way to measure the performance of your business processes. The tools visualize and document all expired process variants on the basis of your SAP® solution and workflow data. The Process Mining Algorithm automatically analyzes your expired processes and reconstructs the executed process model. Complex corporate structures and confusing IT infrastructures are presented in an understandable way and made accessible to the specialist departments. Process risks and costs can be identified and optimized on the basis of these evaluations.
Automated Business Process Discovery is a fundamental technology for the analysis of business processes that has been researched at the University of Eindhoven. On the process-related information stored in databases (e. g. process logs of ERP systems), such as
a software-supported reverse engineering process is used. The method reconstructs and visualizes executed process models without adding further a-priori information. Gartner, the leading company for market research and analysis in information technology, calls this process Automated Business Process Discovery (ABPD).
Recognize and automatically reconstruct technical processes
Automatic recognition and reconstruction of technical processes
Establish a continuous connection between the as-is processes and the target processes
Relate technical and business process models with each other
Carry out fast bottom-up analyses without affecting your daily business
Perform fact-based and data-based detailed analyses (drill down to the document)
Identify process deficits, deviations and risks more quickly
Identify and implement the ideal process flows by means of precise data-based evaluations
Represent the success of the as-is process documentation
Identify customer potential faster