The first time to really understand the workflows behind your own processes. Have you ever wondered what the limitations of process mining are? Have you ever questioned the level of detail that Process Mining (PM) analyses represent? Well say, questions I have never thought about before – why should I? After we developed the first data-driven approach to find automation potential based on data using techniques from process mining and mathematical optimization, we learned it the hard way. Despite the possibility of objectively narrowing down potential and making comparisons, the question remains: How do I automate this? What happens within the individual process activity that I consider to have potential? A question that perfectly highlights the limitations of process mining techniques for finding and preparing automation projects.
Task Mining as a solution
The answer to this question can be found in the research field of Task Mining . By recording user activity data, it is possible to understand how certain tasks are performed. In other words, it offers the possibility to understand what happens during a process activity on the workstation of a respective user. This is, which programs are used, how are actions taken within the screens, where do clicks or keystrokes occur. The question is always to what extent the activity that happens there often happens in a similar way in further cases. And now imagine if you know this across multiple users. Isn’t that powerful? So, I get the opportunity to determine whether certain tasks reveal patterns to highly standardized activity sequences that I’m able to automate.
In our article Process Selection for RPA Projects – A Holistic Approach, we demonstrate how this new capability removes the limitations of information from pure Process Mining. By combining the two data sets, in-depth analyses can be performed. So, as mapped, it can be understood how work is actually done in each stage of the process. In some use cases, the level of detail from a pure ERP data log is sufficient in terms of process mining. For the search for automation potential and its technical implementation, however, Task Mining can become a real game changer. This creates the possibility to really understand how tasks are performed to automate repetitive and low-cognitive tasks with this knowledge. Due to the high shortage of skilled workers and the enormous task load on the company’s own staff, this is a first opportunity to reallocate the company’s resources in a meaningful way. So the next time you want to do an automation project or have one planned, come see us. It is the #stage of analysis that is critical for the overall success. Avoid unforeseen shortcomings in later phases through a data-based analysis of your automation potential!
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Viele Unternehmen dokumentieren ihre Prozesse, ohne sie wirklich messen zu können. Bearbeitungszeiten, Kosten und Varianten bleiben häufig Annahmen – mit erheblichen Folgen für Optimierungs- und Automatisierungsentscheidungen. Task Mining schafft hier Abhilfe, indem reale Arbeitsabläufe quantifizierbar, vergleichbar und wirtschaftlich bewertbar werden. Der Artikel zeigt, wie Task Mining Prozesse messbar macht und wie Unternehmen mit Paxray fundierte Entscheidungen
Task Mining entfaltet seinen größten Nutzen nicht überall gleichermaßen. Besonders wirkungsvoll ist die Technologie dort, wo digitale Wissensarbeit, manuelle Tätigkeiten, mehrere Systeme und hohe Variantenvielfaltzusammentreffen. Dieser Artikel gibt einen praxisnahen Überblick über typische Use Cases, Rollen und Unternehmensbereiche, in denen Task Mining – insbesondere mit Paxray – nachweislich Mehrwert schafft. Warum Task Mining nicht für
Task Mining hat sich als wichtige Technologie zur Analyse und Optimierung digitaler Geschäftsprozesse etabliert. Doch Task Mining ist nicht gleich Task Mining. Hinter ähnlichen Funktionsbeschreibungen verbergen sich teils grundlegend unterschiedliche technologische und methodische Ansätze. Dieser Artikel zeigt, wodurch sich Paxray von anderen Task-Mining-Anbietern unterscheidet – nicht nur beim Datenschutz, sondern auch in Bezug auf Prozessverständnis,