Exploring different aspects of users behaviours in the Dutch autonomous administrative authority through process cubes

Abstract. This report demonstrates how storing events in a data warehouse can facilitate mining business process models. The data warehouse is designed based on dimensional modelling principles for the Business Processing Intelligence Challenge (BPIC) 2016, and it is populated by extracting and cleaning, transforming and loading data from the challenge log files. In addition, the data warehouse is stored in Multidimensional OnLine Analytical Processing (MOLAP) storage format to investigate its potential use. The data are queried based on different process cube operations, and the result is used by different process mining techniques. In this way, the business process models are investigated at different levels of abstraction. The result shows that it could be beneficial to structure event logs in a multidimensional structure to apply different process mining techniques more effectively.