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Robust Business Intelligence Solutions

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Knowledge Discovery for Business Information Systems

Part of the book series: The International Series in Engineering and Computer Science ((SECS,volume 600))

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Abstract

We discuss implementation of very large multi-purpose Business Intelligence systems. We focus on system architecture and integration, data modelling and productionalisation of data mining. The ideas presented come mostly from the author’s experience with implementations of large Business Intelligence projects at the Bank of Montreal. Some of these projects have won major international awards and recognition for unique, integrated, well performing and highly scalable solutions.

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Author information

Authors and Affiliations

  1. Business Intelligence Solutions, Global Information Technology, Bank of Montreal, 4100 Gordon Baker Rd., Toronto, Ontario, M1W 3E8, Canada

    Jan Mrazek (Chief Specialist)

Authors
  1. Jan Mrazek
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Editor information

Editors and Affiliations

  1. The Poznań University of Economics, Poland

    Witold Abramowicz

  2. University of Louisville, USA

    Jozef Zurada

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© 2002 Kluwer Academic Publishers

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Mrazek, J. (2002). Robust Business Intelligence Solutions. In: Abramowicz, W., Zurada, J. (eds) Knowledge Discovery for Business Information Systems. The International Series in Engineering and Computer Science, vol 600. Springer, Boston, MA. https://doi.org/10.1007/0-306-46991-X_11

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  • DOI: https://doi.org/10.1007/0-306-46991-X_11

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-7923-7243-1

  • Online ISBN: 978-0-306-46991-6

  • eBook Packages: Springer Book Archive

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