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Multi-dimensional data modelling for a tourism destination data warehouse (Peer-Reviewed Article) - Detailansicht


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Grunddaten

Titel der Arbeit (title) Multi-dimensional data modelling for a tourism destination data warehouse
Titel der Zeitschrift bzw. Zeitung Cantoni, L., Xiang, Ph. (eds.). Information and Communication Technologies in Tourism 2013
Erscheinungsjahr 2013
Verlag (publisher) Springer
Seitenzahl (pages) 157-169
Publikationsart Peer-Reviewed Article
Inhalt
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.

Zugeordnete Projekte

Wissenschaftliche Veröffentlichungen

Beteiligte Personen (intern)

Höpken, Wolfram, Professor  

Einrichtung

Institut für Angewandte Forschung (IAF)