Predictive End-to-End Enterprise Process Network Monitoring

Abstract Ever-growing data availability combined with rapid progress in analytics has laid the foundation for emergence of business process analytics. Organizations strive to leverage predictive obtain insights. However, current implementations are designed deal homogeneous data. Consequently, there is limited practical use an organization heterogeneous sources. The paper proposes a method end-to-end enterprise network monitoring leveraging multi-headed deep neural networks overcome this limitation. A case study performed medium-sized German manufacturing company highlights method’s utility organizations.