Event Log Generation: An Industry Perspective

TL;DR

This paper surveys industry experts to understand current challenges and perspectives in event log generation for process mining, highlighting data quality issues and the need for integrating traditional BI methods.

Contribution

It provides empirical insights into industry practices and challenges in event log generation, bridging the gap between academic assumptions and real-world applications.

Findings

Data integration and quality are major challenges.

Process mining benefits from integrating with traditional BI.

Industry perspectives highlight practical issues in event log generation.

Abstract

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.