Abstract
Applications based on Data Warehouses especially decision support systems such as Executive Information Systems (EIS) are rapidly becoming a key to gain competitive advantage for businesses. Data Warehouse allows businesses to get data from operational databases and turn that data into useful information on which users can carry out their analysis. In this paper we will discuss the importance of meta modeling for EIS and Data Warehouses as analytical base in EIS for decision support.
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References
IEEE Data Engineering Bulletin, Special Issue on Materialized Views and Data Warehousing, 18(2), June 1995.
V. Harinarayan, A. Rajaraman, J.D. Ullman. Implementing data cubes efficiently. In Proceedings of ACM SIGMUD 1996 International Conference on Management of Data, 1996.
W.H. Immon. Building Data Warehouse. John & Sons, Inc. 1996.
M. Chen. A Model-Driven Approach to Accessing Managerial Information. Journal of Management Information Systems, 1995, Vol. 11, No. 4, p. 33–63
J.F. Rockart, D.W. De Long. Executive support system: The emergence of top management computer use. Homewood, IL: Dow Jones-Irwin, 1988
P. Pinella. An EIS for the desktop. Datamation, May 1, 1991
J. Conklin. Hypertext–An introduction and survey IEEE Computer, 20, 9 (1987), p. 17–41
R. Kirkgoeze, A. Kurz. Using Internet as an EIS-Client. CON’96: Future Information Technologies, OCG Schriftenreiche Band 95, R. Oldenburg, 1996, p. 75–84.
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© 1997 Springer-Verlag/Wien
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Kirkgoeze, R., Kurz, A., Reiterer, H., Tjoa, A.M. (1997). The Relevance of Meta Modeling and Data Warehouses for Executive Information Systems. In: Tjoa, A.M. (eds) Information and Communication Technologies in Tourism 1997. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6848-6_3
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DOI: https://doi.org/10.1007/978-3-7091-6848-6_3
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-82963-9
Online ISBN: 978-3-7091-6848-6
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