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Description
Finding the most suitable process for Robotic Process Automation (RPA) is a cumbersome task that usually involves a subjective process analysis from RPA experts. We propose a concept to automatically and objectively determine the suitability of a digital process for RPA. This concept is based on the methodology of Desktop Activity Mining, a task mining framework that records all user interactions with software during the execution of a process. The collected information is used to answer general aspects that influence the suitability of the process for RPA and for the assessment of individual events.
Recommended Citation
Promitzer, Angela; Torabi-Goudarzi, Sassan; and Werth, Dirk, "Objectively Assessing the Suitability of Digital Processes for Robotic Process Automation" (2022). Wirtschaftsinformatik 2022 Proceedings. 2.
https://aisel.aisnet.org/wi2022/bpm/bpm/2
Objectively Assessing the Suitability of Digital Processes for Robotic Process Automation
Finding the most suitable process for Robotic Process Automation (RPA) is a cumbersome task that usually involves a subjective process analysis from RPA experts. We propose a concept to automatically and objectively determine the suitability of a digital process for RPA. This concept is based on the methodology of Desktop Activity Mining, a task mining framework that records all user interactions with software during the execution of a process. The collected information is used to answer general aspects that influence the suitability of the process for RPA and for the assessment of individual events.