Assessing performance of mined business process variants

Abstract

Process mining can be used to discover different variants of a business process. To optimise the performance of the process, the best variant needs to be identified. However, process performance is multi-dimensional and how these dimensions weigh out against each other to find the best performing process is often unclear. This paper proposes to use conjoint analysis and regression analysis to assess the overall performance of different process variants discovered by process mining. The approach has been implemented in a visual tool and has been applied to an industrial case study.