Social BI is an emerging discipline that aims at applying OLAP analysis to textual user-generated content to let decision-makers analyze their business based on the trends perceived from the environment. Despite the increasing diffusion of SBI applications, only few works in the academic literature addressed the specificities of this applications. In this paper we report some of this distinguishing features and discuss possible solutions.
Social business intelligence: OLAP applied to user generated contents / Golfarelli, Matteo. - STAMPA. - (2014), pp. IS11-IS19. (Intervento presentato al convegno 11th International Conference on e-Business, ICE-B 2014 - Part of 11th International Joint Conference on e-Business and Telecommunications, ICETE 2014 tenutosi a aut nel 2014).
Social business intelligence: OLAP applied to user generated contents
GOLFARELLI, MATTEO
2014
Abstract
Social BI is an emerging discipline that aims at applying OLAP analysis to textual user-generated content to let decision-makers analyze their business based on the trends perceived from the environment. Despite the increasing diffusion of SBI applications, only few works in the academic literature addressed the specificities of this applications. In this paper we report some of this distinguishing features and discuss possible solutions.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
