PAF Blog

In the first part of our joint series by PAF and celver AG, we talked about why Process Mining is a key technology for successful automation projects. In this part, we look at how to best combine Process Mining and RPA.

Tobias Rother, Founder & CEO of PAF, explains the differences between isolated applications and integrated systems, as well as the advantages of an integrated Process Mining solution in the ManagerWISSEN Process Mining Special.

Process Mining enables companies to uncover inefficiencies and disruptions in their processes in a simple and visually based way. Drawing on data already available in the company, this technology also helps to identify and evaluate automation potential, to train bots correctly and to measure their performance.

In recent years, Process Mining tools have significantly reduced the effort required to analyze operational processes and identify optimization potential based on facts. However, both users and market analysts are increasingly finding that it is no longer sufficient to simply provide insights from a particular set of analysis tools.

In the past few years, companies gained their first practical experiences in using Process Mining tools. In most cases, users confirm that these tools greatly reduce the time and effort required to analyze operational processes and identify optimization potential based on facts.