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Part of the book series: Data-Centric Systems and Applications ((DCSA))

Abstract

Models play a central role in Business Intelligence for achieving analysis goals. Depending on the business perspective, the view on the business process, the analysis goals, and the available data, the term model assumes different meanings. This chapter starts with a section dedicated to an overview of different formal approaches to modeling and ideas about model building in Sect. 2.1. Sections 2.2–2.4 present details about the model structures already mentioned in Chap. 1 Section 2.5 discusses data from a modeling point of view. In particular, we emphasize the role of time and data quality.

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Grossmann, W., Rinderle-Ma, S. (2015). Modeling in Business Intelligence. In: Fundamentals of Business Intelligence. Data-Centric Systems and Applications. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46531-8_2

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  • DOI: https://doi.org/10.1007/978-3-662-46531-8_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-46530-1

  • Online ISBN: 978-3-662-46531-8

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