Lisa Wimmer
Last Name
Wimmer
First name
Lisa
Email
lisa.zimmermann@unisg.ch
Phone
+41 71 224 34 29
8 results
Now showing 1 - 8 of 8
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Item type:Publication, What Questions Can I Ask? A Taxonomy and Question catalog for Process Mining Analysis Questions(Springer Science and Business Media LLC, 2025-10-24); ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, What makes life for process mining analysts difficult? A reflection of challenges(2023-11-17); ; Over the past few years, several software companies have emerged that offer process mining tools to assist enterprises in gaining insights into their process executions. However, the effective application of process mining technologies depends on analysts who need to be proficient in managing process mining projects and providing process insights and improvement opportunities. To contribute to a better understanding of the difficulties encountered by analysts and to pave the way for the development of enhanced and tailored support for them, this work reveals the challenges they perceive in practice. In particular, we identify 23 challenges based on interviews with 41 analysts, which we validate using a questionnaire survey. We provide insights into the relevancy of the process mining challenges and present mitigation strategies applied in practice to overcome them. While mitigation strategies exist, our findings imply the need for further research to provide support for analysts along all phases of process mining projects on the individual level, but also the technical, group, and organizational levels.Type:journal articleJournal:Software and Systems ModelingScopus© Citations 23 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, ProMiSE: Process Mining Support for End-Users(2023-07-06); ; ; ; CEUR Workshop ProceedingsIn the past decade, process mining has gained momentum in academia and the industry, as it supports organizations in deriving insights from event data recorded from process executions. The increasing adoption of process mining in practice entails supporting process analysts in their work. Indeed, their analysis includes many exploratory tasks that require them to rely on their experience to interpret the data and steer the analysis. This knowledge-intensive nature of process mining can be challenging for less experienced analysts and calls for methodological and operational guidance tailored to their needs. In this paper, we present ProMiSE, a project funded by the Swiss National Science Foundation that embraces this novel direction in process mining research. The first goal of the project is to improve our understanding of how analysts work in practice, i.e., the process of process mining. Then, methodological guidance and software-based support are developed to assist novice analysts during their analysis. The results obtained in the first two years of ProMiSE have helped to build a solid empirical basis on process mining, laying the foundation for the development of user-centered support, which we will realize in the coming years with the help of our project partners and international collaborators.Type:conference paperJournal:Proceedings of the Research Projects Exhibition Papers Presented at the 35th International Conference on Advanced Information Systems Engineering (CAiSE 2023) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Scopus© Citations 22 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Visualization Use in Process Mining AnalysisType:Book chapterJournal:Enterprise, Business-Process and Information Systems Modeling - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Process-Oriented Approach to Analyze Analysts' Use of Visualizations: Revealing Insights into the What, When, and How(2025); ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Milana: Bridging process mining and visual analytics through task classification(2025); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, From analysis to findings: How do process mining analysts discover results?Process mining involves analyzing event data from business process executions to uncover valuable insights. Although obtaining meaningful results is crucial for any process mining initiative, there is still little understanding of how process analysts derive these insights. In this paper, we fill this gap by characterizing findings of process mining analysis, the processes that lead to these findings, and the role of process mining expertise in guiding these processes. To this end, we leverage empirical data from a study with process mining analysts, including user interactions from process mining tools and inference steps from think-aloud protocols. Our empirical insights provide a comprehensive understanding of how analysts interact with process mining tools, highlighting approaches that lead to valuable findings. The results of our analysis lay the groundwork for the design of tools and visualizations that can support process analysts in their analysis and reasoning processes.Type:journal-articleJournal:Information SystemsVolume:135Scopus© Citations 6