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Data Integration for Business Analytics: A Conceptual Approach

  • Conference paper
Knowledge Science, Engineering and Management (KSEM 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5914))

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Abstract

We present first and basic ideas for a modeling environment for business analytics. Main emphasis is on modeling components for data preparation, in particular data integration. The model is based on combination of knowledge and techniques from statistical metadata management and from workflow processes. All modeling concepts are presented in a problem oriented formulation. The approach is embedded into an open model framework which aims for a modeling platform for all kinds of models useful in business applications.

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Author information

Authors and Affiliations

  1. Institute for Scientific Computing, University Vienna, A 1010, Vienna

    Wilfried Grossmann

Authors
  1. Wilfried Grossmann
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Editor information

Editors and Affiliations

  1. Faculty of Computer Science, Institute for Knowledge and Business Engineering, University of Vienna, Brünner Straße 72, 1210, Vienna, Austria

    Dimitris Karagiannis

  2. School of Electronic Engineering and Computer Science, Peking University, No. 5 Yiheyuan Road, 100871, Beijing, China

    Zhi Jin

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© 2009 Springer-Verlag Berlin Heidelberg

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Grossmann, W. (2009). Data Integration for Business Analytics: A Conceptual Approach. In: Karagiannis, D., Jin, Z. (eds) Knowledge Science, Engineering and Management. KSEM 2009. Lecture Notes in Computer Science(), vol 5914. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10488-6_15

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  • DOI: https://doi.org/10.1007/978-3-642-10488-6_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10487-9

  • Online ISBN: 978-3-642-10488-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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