Framework for a Hospitality Big Data Warehouse

Author:

Ramos Célia M.Q.1,Martins Daniel Jorge2,Serra Francisco3,Lam Roberto4,Cardoso Pedro J.S.2,Correia Marisol B.5,Rodrigues João M.F.2

Affiliation:

1. CEFAGE & ESGHT, University of the Algarve, Faro, Portugal

2. LARSyS & ISE, University of the Algarve, Faro, Portugal

3. ESGHT, University of the Algarve, Faro, Portugal

4. LARSyS & ISE, University of Algarve, Faro, Portugal

5. CEG-IST & ESGHT, University of the Algarve, Faro, Portugal

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.

Publisher

IGI Global

Subject

Information Systems and Management,Management Science and Operations Research,Strategy and Management,Information Systems,Management Information Systems

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