Framework for a Hospitality Big Data Warehouse: The Implementation of an Efficient Hospitality Business Intelligence System

Célia Ramos, Daniel Jorge Martins, Francisco Serra, Roberto Lam, Pedro J.S. Cardoso, Marisol B. Correia and João M.F. Rodrigues
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Daniel Jorge Martins: LARSyS & ISE, University of the Algarve, Faro, Portugal
Francisco Serra: ESGHT, University of the Algarve, Faro, Portugal
Roberto Lam: LARSyS & ISE, University of Algarve, Faro, Portugal
Pedro J.S. Cardoso: LARSyS & ISE, University of the Algarve, Faro, Portugal
Marisol B. Correia: CEG-IST & ESGHT, University of the Algarve, Faro, Portugal
João M.F. Rodrigues: LARSyS & ISE, University of the Algarve, Faro, Portugal

International Journal of Information Systems in the Service Sector (IJISSS), 2017, vol. 9, issue 2, 27-45

Abstract: In order to increase the hotel's competitiveness, to maximize its revenue, to meliorate its online reputation and improve customer relationship, the information about the hotel's business has to be managed by adequate information systems (IS). Those IS should be capable of returning knowledge from a necessarily large quantity of information, anticipating and influencing the consumer's behaviour. One way to manage the information is to develop a Big Data Warehouse (BDW), which includes information from internal sources (e.g., Data Warehouse) and external sources (e.g., competitive set and customers' opinions). This paper presents a framework for a Hospitality Big Data Warehouse (HBDW). The framework includes a (1) Web crawler that periodically accesses targeted websites to automatically extract information from them, and a (2) data model to organize and consolidate the collected data into a HBDW. Additionally, the usefulness of this HBDW to the development of the business analytical tools is discussed, keeping in mind the implementation of the business intelligence (BI) concepts.

Date: 2017
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