Toward an Ontology-based model of key performance indicators for business process improvement

The selection and the use of performance measurement have received considerable interest in recent years. In addition, it is crucial not only to track the process behavior and to derive the key performance indicators but also to understand all necessary concepts involved in the BP and incorporate domain knowledge of the field. The improvement of business processes is based on comprehensive measurement, data understanding, task design, and relevant result interpretation of organization's performance. In this context, in order to make relevant decisions and to provide a consistent understanding of the field, we present a new ontology based on a real business process to create semantic relationships between all terms. After that, we were based on data mining technique to extract the most important information from data measurement. An example of implementation of our proposed contribution as well as its validation on a real case study in the healthcare domain is presented.