Improved Business Decision-Making Via Liquid Process Model Collections
Grant number: DP150103356 | Funding period: 2018 - 2019
This project aims to develop an innovative approach to create and update as necessary the large collection of business process models that represent a complex organisation, so that this collection captures the actual way in which the organisation performs its business processes. Deploying theoretical, conceptual and empirical research, this project aims to capitalise on the value hidden in large process data, as recorded in event logs. The approach is intended to be implemented in an open-source technology to facilitate advanced investigations and predictions that can ultimately lead to better strategic decision-making. This technology also has the potential to become a research-enabling too..View full description
Related publications (7)
Automated Discovery of Process Models from Event Logs: Review and Benchmark
A Augusto, R Conforti, M Dumas, M La Rosa, FM Maggi, A Marrella, M Mecella, A Soo
Process mining allows analysts to exploit logs of historical executions of business processes to extract insights regarding the ac..