Multi-Dimensional Data Modelling for a Tourism Destination Data Warehouse

Wolfram Höpken (), Matthias Fuchs (), Gerhard Höll (), Dimitri Keil () and Maria Lexhagen ()
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Wolfram Höpken: Mid-Sweden University
Matthias Fuchs: Mid-Sweden University
Gerhard Höll: University of Applied Sciences Ravensburg-Weingarten
Dimitri Keil: Mid-Sweden University
Maria Lexhagen: Mid-Sweden University

A chapter in Information and Communication Technologies in Tourism 2013, 2013, pp 157-169 from Springer

Abstract: Abstract Information and communication technologies (ICTS) play a crucial role to increase the knowledge base of destination stakeholders. Organisational learning and managerial effectiveness can particularly be enhanced by applying methods of business intelligence (BI). Although huge amounts of data are available in tourism destinations these valuable knowledge sources typically remain unused. The described problem is solved by conceptualizing, prototypically implementing and testing a novel destination management information system (DMIS) that applies methods of BI and data warehousing for the leading Swedish ski destination, Åre. As being a central DMIS component, the destination-wide data warehouse (DW), its underlying multi-dimensional data model, the technical architecture, as well as critical implementation issues are discussed. Finally, the prototypical implementation of the DMIS focussing on the data warehouse and OLAP functionalities for customer feedback processes proved the suitability and effectiveness of the proposed overall architecture.

Keywords: Business intelligence; Data warehouse; Multi-dimensional modelling; Data mining; Tourism knowledge destination (search for similar items in EconPapers)
Date: 2013
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DOI: 10.1007/978-3-642-36309-2_14

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