Understanding Process Behaviours in a Large Insurance Company in Australia: A Case Study
| Autor: | Suriadi, S., Wynn, M.T., Ouyang, C., Hofstede, ter, A.H.M., van Dijk, N.J., Salinesi, C., Norrie, M.C., Pastor, O. |
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| Přispěvatelé: | Information Systems IE&IS |
| Rok vydání: | 2013 |
| Předmět: |
080000 INFORMATION AND COMPUTING SCIENCES
Knowledge management business.industry Process (engineering) Business process process mining finance Process improvement Process mining business process management data mining Business process modeling Domain (software engineering) Business process management Business process discovery case study Business 080600 INFORMATION SYSTEMS |
| Zdroj: | Advanced Information Systems Engineering ISBN: 9783642387081 CAiSE Advanced Information Systems Engineering-Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Advanced Information Systems Engineering : 25th International Conference, CAiSE, Valencia, Spain, June 17-21, 2013, 449-464 STARTPAGE=449;ENDPAGE=464;TITLE=Advanced Information Systems Engineering : 25th International Conference, CAiSE, Valencia, Spain, June 17-21, 2013 |
| DOI: | 10.1007/978-3-642-38709-8_29 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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