Suriadi obtained his PhD in late 2010. His PhD research involved the design of privacy enhancing cryptographic protocols and their verification using Coloured Petri nets. Suriadi is currently a postdoctoral research fellow within the BPM discipline of Queensland University of Technology in Australia. His main research interests include process mining, data quality, information security, and formal system modelling and verification
Having a reliable understanding about the behaviours, problems, and performance of existing processes is important in enabling a targeted process
improvement initiative. Recently, there has been an increase in the application of innovative process mining techniques to facilitate
evidence-based understanding about organizations' business processes. Nevertheless, the application of these techniques in the domain of finance in
Australia is, at best, scarce. This paper details a 6-month case study on the application of process mining in one of the largest insurance companies in
Australia. In particular, the challenges encountered, the lessons learned, and the results obtained from this case study are detailed. Through this case
study, we not only validated existing `lessons learned' from other similar case studies, but also added new insights that can be beneficial to other
practitioners in applying process mining in their respective fields.