A semi-automatic methodology for the design of performance monitoring systems

In the present work, we propose a methodology for the design of a strategic support information system, aimed both at monitoring enterprise daily activities and at supporting decision making by means of Key Performance Indicators (KPIs). In particular, given a set of requested KPIs and the schemas of available data sources, our approach aims at identifying the subset of requested KPIs that can be actually computed over the sources. The KPIs are represented by means of an ontology, over which proper reasoning functionalities have been implemented. Both such automatic functionalities and interactions with experts are required in order to map ontology concepts to schema elements.