---
res:
  bibo_abstract:
  - 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.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Alexander Marcus
      foaf_name: Skolik, Alexander Marcus
      foaf_surname: Skolik
      foaf_workInfoHomepage: http://www.librecat.org/personId=92908
    orcid: 0009-0006-2519-1765
  - foaf_Person:
      foaf_givenName: Bernd
      foaf_name: Löhr, Bernd
      foaf_surname: Löhr
      foaf_workInfoHomepage: http://www.librecat.org/personId=56760
    orcid: 0000-0001-9581-4602
  dct_date: 2026^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/978-3-032-13426-4
  dct_language: eng
  dct_publisher: Springer Nature Switzerland@
  dct_title: Understanding the Dynamics of a Process Mining Project Analyzing Log
    Data of a Process Mining Platform@
...