Social business intelligence: OLAP applied to user generated contents

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.



Titolo: Social business intelligence: OLAP applied to user generated contents
Autore/i: GOLFARELLI, MATTEO
Autore/i Unibo: 
GOLFARELLI, MATTEO  
Anno: 2014
Titolo del libro: ICE-B 2014 - Proceedings of the 11th International Conference on e-Business, Part of ICETE 2014 - 11th International Joint Conference on e-Business and Telecommunications
Pagina iniziale: IS11
Pagina finale: IS19
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.
Data stato definitivo: 2-dic-2015
Appare nelle tipologie:4.01 Contributo in Atti di convegno

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Utilizza questo identificativo per citare o creare un link a questo documento:
http://hdl.handle.net/11585/521678
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