TY - GEN
T1 - Mining Process Mining Practices
T2 - 17th International Conference on Business Process Management, BPM 2019
AU - Klinkmüller, Christopher
AU - Müller, Richard
AU - Weber, Ingo
N1 - Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - Many business process management activities benefit from the investigation of event data. Thus, research, foremost in the field of process mining, has focused on developing appropriate analysis techniques, visual idioms, methodologies, and tools. Despite the enormous effort, the analysis process itself can still be fragmented and inconvenient: analysts often apply various tools and ad-hoc scripts to satisfy information needs. Therefore, our goal is to better understand the specific information needs of process analysts. To this end, we characterize and examine domain problems, data, analysis methods, and visualization techniques associated with visual representations in 71 analysis reports. We focus on the representations, as they are of central importance for understanding and conveying information derived from event data. Our contribution lies in the explication of the current state of practice, enabling the evaluation of existing as well as the creation of new approaches and tools against the background of actual, practical needs.
AB - Many business process management activities benefit from the investigation of event data. Thus, research, foremost in the field of process mining, has focused on developing appropriate analysis techniques, visual idioms, methodologies, and tools. Despite the enormous effort, the analysis process itself can still be fragmented and inconvenient: analysts often apply various tools and ad-hoc scripts to satisfy information needs. Therefore, our goal is to better understand the specific information needs of process analysts. To this end, we characterize and examine domain problems, data, analysis methods, and visualization techniques associated with visual representations in 71 analysis reports. We focus on the representations, as they are of central importance for understanding and conveying information derived from event data. Our contribution lies in the explication of the current state of practice, enabling the evaluation of existing as well as the creation of new approaches and tools against the background of actual, practical needs.
KW - Process mining
KW - Qualitative content analysis
KW - Visual analytics
UR - http://www.scopus.com/inward/record.url?scp=85072859933&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-26619-6_21
DO - 10.1007/978-3-030-26619-6_21
M3 - Conference contribution
AN - SCOPUS:85072859933
SN - 9783030266189
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 322
EP - 337
BT - Business Process Management - 17th International Conference, BPM 2019, Proceedings
A2 - Hildebrandt, Thomas
A2 - van Dongen, Boudewijn F.
A2 - Röglinger, Maximilian
A2 - Mendling, Jan
PB - Springer Verlag
Y2 - 1 September 2019 through 6 September 2019
ER -