As Transparent as Possible, System Implementation Governance Using Process Mining

TL;DR

This paper demonstrates how process mining can be used to improve system implementation governance by identifying risks and deviations in real-time, ensuring better alignment with organizational processes.

Contribution

It introduces a process mining-based approach for system governance, emphasizing transparency and real-time analysis during system implementation.

Findings

Identification of critical implementation risks

Detection of process deviations and bottlenecks

Highlighting technical and cultural challenges

Abstract

This paper advocates for guiding an effective system implementation approach at a business process level. It details a case study of a food product manufacturer that transitioned to a new local information system. 41 units' data (10160 cases) over the pre-maturity phase of the system were then structured into event logs and analyzed. This analysis identified deviant process paths, questioning whether the new system efficiently supports procurement operations immediately post-implementation. The findings reveal critical implementation risks with conformance-checking of the as-is process with the to-be process model; this includes incomplete cases, unauthorized activities, irregular payment practices, stemming from organizational bottlenecks, or violating internal control regulations. Challenges are attributed to technical shortcomings in system design and cultural misalignments, necessitating immediate interventions or longer-term cultural and training solutions. This study's contribution is its demonstration of a transparent, process-driven approach to system governance, highlighting the strategic benefits of this integration for organizational management.