Our article about “Enterprise Process Network Monitoring” has been published in Business & Information Systems Engineering
Our article “Predictive End-to-End Enterprise Process Network Monitoring”, has been accepted for publication in the Business & Information Systems Engineering journal. This paper presents a method for predictive enterprise process network monitoring leveraging a novel multi-headed deep neural network model. The model integrates multiple data sources from an enterprise process network, such as process logs or context information. With this deep learning architecture, the heterogeneous data are processed in dedicated neural network input heads and concatenated for prediction based on cross-department information. The results from a case study conducted with a medium-sized German manufacturing company shed light on the practical relevance.
The journal Business & Information Systems Engineering is an international scholarly and double-blind peer-reviewed journal. You can read the open access article here.