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Using event logs and the Ψ-theory to analyse business processes

The development of information technologies (IT) has increased the number of IT dependent business processes within organisations, enforcing the crucial role of IT in today's enterprise implementations. In spite of IT advances, human beings still constitute the most valuable asset of any enterprise and the cooperation between them is indispensable for the operation of business processes. Traditional business process modelling techniques have limitations regarding the acquisition process which is time-consuming and do not take fully advantage of IT to represent updated process models. Besides, these techniques are limited concerning the analysis and improvement of the resulting models. This paper proposes a method to analyse updated business processes in terms of the collaboration between the participant actor roles, taking into account the importance of IT and human beings at those processes. The method receives as input event logs extracted from the application and technological infrastructure that supports the business processes and combines techniques from both Process Mining and the Ψ-theory to analyse enterprise ontology models against the mined processes, detecting opportunities for business process reengineering. The method was applied to analyse a VPN access approval process within a national defence governmental institution. The evaluation was performed using the Osterle principles.