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<titleInfo><title>Understanding the Dynamics of a Process Mining Project Analyzing Log Data of a Process Mining Platform</title></titleInfo>





<name type="personal">
  <namePart type="given">Alexander Marcus</namePart>
  <namePart type="family">Skolik</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">92908</identifier><description xsi:type="identifierDefinition" type="orcid">0009-0006-2519-1765</description></name>
<name type="personal">
  <namePart type="given">Bernd</namePart>
  <namePart type="family">Löhr</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">56760</identifier><description xsi:type="identifierDefinition" type="orcid">0000-0001-9581-4602</description></name>



<name type="personal"><namePart type="given">Inge</namePart><namePart type="family">van de Weerd</namePart>
  <role> <roleTerm type="text">editor</roleTerm> </role></name>
<name type="personal"><namePart type="given">Bedilia</namePart><namePart type="family">Estrada Torres</namePart>
  <role> <roleTerm type="text">editor</roleTerm> </role></name>
<name type="personal"><namePart type="given">Han</namePart><namePart type="family">van der Aa</namePart>
  <role> <roleTerm type="text">editor</roleTerm> </role></name>











<abstract lang="eng">Process mining proved to be valuable for enabling transparency in business processes and to help to manage the everyday process dynamics. But what about the dynamics of a process mining project itself. In this paper, we present insights of a process mining introduction project spanning two years. For that we analyze the logs of the process mining platform supported by interviews of the developers and participants as part of our case study research. Based on this, our findings indicate four actions that impact a successful process mining project and the underlying dynamics. (1) Two development phases in a test and productive environment can lead to data driven process improvements. (2) Maintenance and the associated technical debt can cause process drift. (3) Scope creep of the project is easily identifiable in such logs and hinders the complete process mining initiative and (4) a sufficient user base and constant interaction with allows for bottom up process change. These results provide quantitative insights into the development and adoption cycles of the software and the direct impact on the processes as well as the business process management initiative. From this initial analysis researchers can benefit from first insights into the quantitative side of a process mining project and our categorization of the findings. Practitioners can use the findings as a blueprint or source for improvements to their process mining projects.</abstract>

<originInfo><publisher>Springer Nature Switzerland</publisher><dateIssued encoding="w3cdtf">2026</dateIssued>
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<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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<relatedItem type="host"><titleInfo><title>Business Process Management Workshops</title></titleInfo>
  <identifier type="isbn">978-3-032-13426-4</identifier>
<part><extent unit="pages">288–299</extent>
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<apa>Skolik, A. M., &amp;#38; Löhr, B. (2026). Understanding the Dynamics of a Process Mining Project Analyzing Log Data of a Process Mining Platform. In I. van de Weerd, B. Estrada Torres, &amp;#38; H. van der Aa (Eds.), &lt;i&gt;Business Process Management Workshops&lt;/i&gt; (pp. 288–299). Springer Nature Switzerland.</apa>
<ama>Skolik AM, Löhr B. Understanding the Dynamics of a Process Mining Project Analyzing Log Data of a Process Mining Platform. In: van de Weerd I, Estrada Torres B, van der Aa H, eds. &lt;i&gt;Business Process Management Workshops&lt;/i&gt;. Springer Nature Switzerland; 2026:288–299.</ama>
<bibtex>@inproceedings{Skolik_Löhr_2026, place={Cham}, title={Understanding the Dynamics of a Process Mining Project Analyzing Log Data of a Process Mining Platform}, booktitle={Business Process Management Workshops}, publisher={Springer Nature Switzerland}, author={Skolik, Alexander Marcus and Löhr, Bernd}, editor={van de Weerd, Inge and Estrada Torres, Bedilia and van der Aa, Han}, year={2026}, pages={288–299} }</bibtex>
<short>A.M. Skolik, B. Löhr, in: I. van de Weerd, B. Estrada Torres, H. van der Aa (Eds.), Business Process Management Workshops, Springer Nature Switzerland, Cham, 2026, pp. 288–299.</short>
<mla>Skolik, Alexander Marcus, and Bernd Löhr. “Understanding the Dynamics of a Process Mining Project Analyzing Log Data of a Process Mining Platform.” &lt;i&gt;Business Process Management Workshops&lt;/i&gt;, edited by Inge van de Weerd et al., Springer Nature Switzerland, 2026, pp. 288–299.</mla>
<ieee>A. M. Skolik and B. Löhr, “Understanding the Dynamics of a Process Mining Project Analyzing Log Data of a Process Mining Platform,” in &lt;i&gt;Business Process Management Workshops&lt;/i&gt;, 2026, pp. 288–299.</ieee>
<chicago>Skolik, Alexander Marcus, and Bernd Löhr. “Understanding the Dynamics of a Process Mining Project Analyzing Log Data of a Process Mining Platform.” In &lt;i&gt;Business Process Management Workshops&lt;/i&gt;, edited by Inge van de Weerd, Bedilia Estrada Torres, and Han van der Aa, 288–299. Cham: Springer Nature Switzerland, 2026.</chicago>
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