Automated Process Decision Making Based on Integrated Source Data

Decision activities are frequently responsible for a major part of a process’s duration and resource consumption. The automation of these activities hence holds the promise of significant cost and time savings, however, only if the decision quality does not suffer. To achieve this, it is required to consider data from diverse sources that go beyond the process audit log, which is why approaches relying solely on it are likely to yield sub-optimal results. We therefore present in this paper an approach to process decision automation that incorporates data integration techniques, enabling significant improvements in decision quality.

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