An Enterprise Process Performance Management System based on Business Process Intelligence

Abstract

To ensure efficient and effective implementation, conventional business process management solutions primarily focus on modeling and automating business processes. As automation expands, enterprises are focusing on monitoring and optimizing process execution. This paper introduces a business process intelligence (BPI) framework that employs activity-based management (ABM) measurement models to facilitate the dynamic evaluation of process performance. The framework evaluates six critical process flows—activity, information, resource, cost, cash, and profit—to provide company managers with insights for process enhancement. The evaluation process considers seven critical aspects: time, quality, service, cost, speed, efficiency, and significance. The efficacy of the proposed method has been shown by the creation of a prototype system that facilitates dynamic modeling, process flow analysis, and performance forecasting.