Event Log Generation: An Industry Perspective
It addresses practical challenges in process mining for industry practitioners, but is incremental as it builds on existing academic assumptions.
The paper surveyed industry experts to assess academic assumptions about event log generation in process mining, revealing challenges in data integration and quality, and suggesting benefits from integrating process mining with business intelligence approaches.
This paper presents the results of an industry expert survey about event log generation in process mining. It takes academic assumptions as a starting point and elicits practitioner's assessments of statements about process execution, process scoping, process discovery, and process analysis. The results of the survey shed some light on challenges and perspectives around event log generation, as well as on the relationship between process models and process execution, and derive challenges for event log generation from it. The responses indicate that particularly relevant challenges exist around data integration and quality, and that process mining can benefit from a systematic integration with more traditional and wide-spread business intelligence approaches.