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, 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 82 - 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 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Leveraging Digital Trace Data to Investigate and Support Human-Centered Work ProcessesThe ongoing digitization of processes in all domains of everyday life driven by IT systems shows great potential for process automation, analysis, and optimization. In the last decade process mining has advanced to an important and mature discipline of computer science research and has been widely adopted in industry. More recently,-acknowledging the huge potential of digital trace data to study processes-process science has been introduced as an interdisciplinary field studying how processes unfold over time. This paper discusses the potential that arises when using digital trace data not only in the context of highly automated processes but also to investigate humancentered (work) processes and elaborates on associated challenges. Examples range from the semi-automated storage and production processes in a smart factory to healthcare processes to process analysts performing process mining tasks and software engineers reading software artifacts like source code and process models.Type:conference paperJournal:Communications in Computer and Information ScienceScopus© Citations 5
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