The Use of Data Warehouses as a Basis for Strategic Decision in Tourism

  • Remzi Kirkgöze
  • A. Min Tjoa


Data warehousing has recently emerged as a possible solution to enable end user access to the increasing volumes of business oriented data. The foundation of any modern decision support architecture is the data warehouse. In this paper we will give a framework for the use of data warehouses in the tourism domain. The framework will cover the whole life cycle of the design, specification and application of data warehouses and their use in tourist information systems (TIS) and strategic decision support systems in tourism. Since many tourist information systems offer WWW-interfaces based on HTML-files and Java applets, we consider to use internet/intranet as the end user interface for any analysis, report and retrieval operation on the data warehouse. Special efforts will be given on the potential of data mining techniques, which are used on top of modern data warehouses


Data Mining Decision Support System Data Warehouse Tourism Industry Data Mining Process 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. [1]
    W.H. Immon. Building Data Warehouse. John & Sons, Inc. 1996.Google Scholar
  2. [2]
    U. Fayyad, G. Piatetsky-Shapiro, P. Smyth, The KDD Process for Extracting Useful Knowledge from Volumes of Data. Communication of ACM, Nov 96, Vol. 39, No. 11Google Scholar
  3. [3]
    A.M. Tjoa, H. Werthner, Interfacing WWW with Distributed Database Applications in the Field of Tourism, ENTER’96, pp. 78–85.Google Scholar
  4. [4]
    S. Chaudhuri, U. Dayal, An Overview of Data Warehousing and OLAP Technology. ACM SIGMOD Record, March 1997.Google Scholar
  5. [5]
    R. Kimball, The Data Warehouse Toolkit. John Wiley, 1996.Google Scholar
  6. [6]
    Gartner Group, Using Data Minin to Gain a Competitive Edge. Inside Gartner Group This Week, August 1995.Google Scholar
  7. [7]
    R. Kirkgoeze, A. Kurz. Using Internet as an ElS-Client. CON’96: Future Information Technologies, OCG Schriftenreiche Band 95, R. Oldenburg, 1996, p. 75–84.Google Scholar
  8. [8]
    K.A. Froeschl, Meta Data Management in Statistical Information Processing. Springer, Vienna, 1997.Google Scholar

Copyright information

© Springer-Verlag/Wien 1998

Authors and Affiliations

  • Remzi Kirkgöze
    • 1
  • A. Min Tjoa
    • 1
  1. 1.Institute of Software TechnologyVienna University of TechnologyViennaAustria

Personalised recommendations