The BI Trap – A Tripping Risk on the Way to the Successful Use of Process Mining

Process mining (PM) is one recent technology trend with considerable potential for process optimization. We have noticed that the PM application in literature seems to be further along than the actual implementation in practice. In theory, the optimal process mining application encompasses the entire spectrum, from process discovery to action-oriented process mining. In practice, however, full utilization is rarely observed. To investigate this further, we conducted a qualitative study and interviewed 27 users in various positions from 16 different companies. We found that companies often stagnate in the early stages of application development and are therefore unable to generate sustainable value with PM. Actual process optimizations are carried out manually or not implemented at all. Based on this, we conceptualize the “BI trap” that companies may fall into when implementing and using PM, and have developed recommendations to avoid this scenario and ensure the successful and full utilization of PM.

Authors

Publication Details

Journal
ScholarSpace (University of Hawaii at Manoa)
Published
2025-12-23
Primary Topic
Business Process Modeling and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The BI Trap – A Tripping Risk on the Way to the Successful Use of Process Mining

André Coners, Ralf Plattfaut, Martina Navratilova, Henning Nusch
ScholarSpace (University of Hawaii at Manoa)
Business Process Modeling and Analysis
article

The BI Trap – A Tripping Risk on the Way to the Successful Use of Process Mining

André Coners, Ralf Plattfaut, Martina Navratilova, Henning Nusch
article en

Abstract

Process mining (PM) is one recent technology trend with considerable potential for process optimization. We have noticed that the PM application in literature seems to be further along than the actual implementation in practice. In theory, the optimal process mining application encompasses the entire spectrum, from process discovery to action-oriented process mining. In practice, however, full utilization is rarely observed. To investigate this further, we conducted a qualitative study and interviewed 27 users in various positions from 16 different companies. We found that companies often stagnate in the early stages of application development and are therefore unable to generate sustainable value with PM. Actual process optimizations are carried out manually or not implemented at all. Based on this, we conceptualize the “BI trap” that companies may fall into when implementing and using PM, and have developed recommendations to avoid this scenario and ensure the successful and full utilization of PM.

ScholarSpace (University of Hawaii at Manoa)
Openalex Percentile: Top 25%
Business Process Modeling and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.