Case analytics workbench: Platform for hybrid process model creation and evolution

Abstract

Hybrid process models are considered an attractive approach for modeling knowledge-intensive processes. A hybrid process model combines both imperative and declarative modeling, which can handle both the structured and the flexible parts of a business process. However, it is difficult and timeconsuming to create and refine a hybrid process model due to its structure complexity and case variability. This paper introduces the Case Analytics Workbench, an end-to-end system to accelerate hybrid process model creation and evolution by combining declarative and imperative process mining, event log clustering and human interaction in a cloud environment. We validated the effectiveness and applicability of our system by performing two case studies from insurance and health care industry respectively.