Francesca Zerbato
Title
Ph.D.
Last Name
Zerbato
First name
Francesca
Email
francesca.zerbato@unisg.ch
Phone
+41 71 224 26 69
26 results
Now showing 1 - 10 of 26
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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 - Some of the metrics are blocked by yourconsent settings
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, The biggest business process management problems to solve before we die(Elsevier, 2023-01)Scopus© Citations 161 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Integrated Exploration of Data-Intensive Business Processes(2023) - 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, Process mining for healthcare: Characteristics and challenges(2022) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, BPMN in healthcare: Challenges and best practicesType:journal articleJournal:Information SystemsVolume:107Scopus© Citations 83 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Seamless conceptual modeling of processes with transactional and analytical dataIn the field of Business Process Management (BPM), modeling business processes and related data is a critical issue since process activities need to manage data stored in databases. The connection between processes and data is usually handled at the implementation level, even if modeling both processes and data at the conceptual level should help designers in improving business process models and identifying requirements for implementation. Especially in data- and decision-intensive contexts, business process activities need to access data stored both in databases and data warehouses. In this paper, we complete our approach for defining a novel conceptual view that bridges process activities and data. The proposed approach allows the designer to model the connection between business processes and database models and define the operations to perform, providing interesting insights on the overall connected perspective and hints for identifying activities that are crucial for decision support.Type:journal articleJournal:Data & Knowledge EngineeringVolume:134Scopus© Citations 3 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Exploring how users engage with hybrid process artifacts based on declarative process models: a behavioral analysis based on eye-tracking and think-aloud(Springer, 2020); Scopus© Citations 24 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Exploring how users engage with hybrid process artifacts based on declarative process models: a behavioral analysis based on eye-tracking and think-aloud(Springer Science and Business Media LLC, 2020-07-05); ; Scopus© Citations 24
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