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 imple- mented. Both such automatic functionalities and interactions with ex- perts are required in order to map ontology concepts to schema elements.
A semi-automatic methodology for the design of performance monitoring systems / Diamantini, Claudia; Genga, Laura; Potena, Domenico; Storti, Emanuele. - STAMPA. - (2014), pp. 111-122. (Intervento presentato al convegno 22nd Italian Symposium on Advanced Database Systems tenutosi a Castellammare di Stabia, Napoli nel June 16th - June 18th 2014).
A semi-automatic methodology for the design of performance monitoring systems
Diamantini, Claudia;Genga, Laura;Potena, Domenico;Storti, Emanuele
2014-01-01
Abstract
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 imple- mented. Both such automatic functionalities and interactions with ex- perts are required in order to map ontology concepts to schema elements.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
