TY - CHAP
T1 - Guiding Process Mining Projects with the IPMM Framework: A Case Study with a German Manufacturer
AU - Obersteiner, Florian
AU - Lüftenegger, Egon
PY - 2024
Y1 - 2024
N2 - Process mining is a transformative approach that leverages event data from disparate information systems to discover, improve performance, and ensure compliance of business processes. Bridging the gap between theory and practice, especially for newcomers, is a pressing concern. To address this issue, we have developed our Integrative Process Mining Management (IPMM) framework, which consists of a methodology and tools to provide organizations with a concise overview of existing process mining methodologies, their pros and cons, and their alignment with current maturity levels. Within our methodology we present our management tool: The Process Mining Maturity Level Cheat Sheet. This process mining management tool outlines potential goals for each maturity level. The IPMM framework offers a structured solution. Our framework emphasizes the importance of tailoring process mining techniques to an organization’s maturity level. Finally, we apply our framework in a German manufacturing company.
AB - Process mining is a transformative approach that leverages event data from disparate information systems to discover, improve performance, and ensure compliance of business processes. Bridging the gap between theory and practice, especially for newcomers, is a pressing concern. To address this issue, we have developed our Integrative Process Mining Management (IPMM) framework, which consists of a methodology and tools to provide organizations with a concise overview of existing process mining methodologies, their pros and cons, and their alignment with current maturity levels. Within our methodology we present our management tool: The Process Mining Maturity Level Cheat Sheet. This process mining management tool outlines potential goals for each maturity level. The IPMM framework offers a structured solution. Our framework emphasizes the importance of tailoring process mining techniques to an organization’s maturity level. Finally, we apply our framework in a German manufacturing company.
KW - Process mining
KW - business process management
KW - information systems
KW - project management
KW - business informatics
KW - framework
KW - industrial engineering
KW - case study
UR - https://doi.org/10.1007/978-3-031-71633-1_4
U2 - 10.1007/978-3-031-71633-1_4
DO - 10.1007/978-3-031-71633-1_4
M3 - Chapter
SN - 1868-4238
VL - 731
T3 - IFIP International Conference on Advances in Production Management Systems)
SP - 48
EP - 62
BT - Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments
PB - Springer Science and Business Media Deutschland GmbH
ER -
