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  4. Process Mining Challenges Perceived by Analysts: An Interview Study
 
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Process Mining Challenges Perceived by Analysts: An Interview Study

Type
conference paper
Date Issued
2022
Author(s)
Zimmermann, Lisa  
Zerbato, Francesca  
Weber, Barbara  
DOI
https://doi.org/10.1007/978-3-031-07475-2_1
Abstract (De)
Process mining analysts need to work with event data to discover (business) processes, interpret results and report meaningful conclusions. Although process mining tools are constantly enhanced and advanced techniques are developed to enrich the functional scope in the field, little is known about the individual needs of analysts and the issues they face while conducting process mining projects. This paper aims to close this gap by uncovering perceived challenges occurring in practice. Based on an interview study with 41 participants, we identify and describe 23 challenges, spanning different project phases and directly affecting the work of process mining analysts. We discuss whether methods and techniques exist that can help to overcome these challenges and where further research is needed to devise new solutions and integrate existing ones better into process mining practice.
Language
English
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher
Springer Link
Official URL
https://link.springer.com/chapter/10.1007/978-3-031-07475-2_1
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/109601
Subject(s)

computer science

Division(s)

ICS - Institute of Co...

SCS - School of Compu...

Eprints ID
267112
File(s)
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Thumbnail Image

open.access

Name

PMChallengesPerceivedByAnalysts_CameraReadyVersion_ZimmermannZerbatoWeber.pdf

Size

381.42 KB

Format

Adobe PDF

Checksum (MD5)

8f56bee965e7fbc33dea755e8a1644f3

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