A Process Mining Success Factors Model

Abstract

Process mining – a suite of techniques for extracting insights from event logs of Information Systems (IS) – is increasingly being used by a wide range of organisations to improve operational efficiency. However, despite extensive studies of Critical Success Factors (CSF) in related domains, CSF studies of process mining are limited. Moreover, these studies merely identify factors, and do not provide essential details such as a clear conceptual understanding of success factors and their interrelationships. Using a process mining success model published in 2013 as a conceptual foundation, we derive an empirically supported, enhanced process mining critical success factors model. Applying a hybrid approach, we qualitatively analyse 62 process mining case reports covering diverse perspectives. We identify nine process mining critical success factors, explain how these factors relate to the process mining context and analyse their interrelationships with regard to process mining success. Our findings will guide organisations to invest in the right mix of critical success factors for value realisation in process mining practice.