Robotic process automation (RPA) provides a virtual workforce to automatize manual, repetitive and error-prone tasks. However, successful process automation requires knowledge about the potential for automation, effective training of the robots and continuous monitoring of their performance. Within this paper, we illustrate how process mining supports organizations throughout the lifecycle of RPA initiatives. Our process mining application provides a visual and fact-based proof for automation capabilities and enables prioritization of activities. The application further supports the user by monitoring and benchmarking robots to ensure sustainable benefits. These insights are especially valuable for process managers and miners with a special interest in process automation.
CITATION STYLE
Matthies, B., & Feldmann, C. (2022). Wirtschaftlichkeitsbewertung einer Prozessautomatisierung mit RPA zur Unterstützung der Investitionsentscheidung. In Praxishandbuch Robotic Process Automation (RPA) (pp. 37–59). Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-38379-4_4
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