Name of the participant: Alexander Beuther
Description of the IT research project: The aim of the VisEP project is to make current research results from decision mining and process management usable for knowledge-intensive processes.
The goal is to develop a prototype for extracting data from application systems of knowledge-intensive services of tax consultants, for example, in order to represent decisions and their effects on the processes. In particular, the temporal, sequential and logical relationships between activities are to be used to determine their impact on the further course of the process. In this way, the implicitly contained decisions are to be revealed and made usable for the identification of anomalies or used for future process predictions.
To solve the problem described above, the project will use process mining and artificial intelligence methods to first identify the process-influencing points and divide them into relevant groups or clusters of decisions, and then extract the underlying decision logics. Since decisions are often not transparent due to artificial intelligence, a visualisation component is being created that is intended to present decision parameters through explainable AI, among other things. This should result in improved process visualisation and process knowledge for knowledge-intensive processes.
Software Campus partners: DFKI, DATEV
Implementation period: 01.03.2021 – 31.08.2022