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Adaptive Business Intelligence: The Integration of Data Mining and Systems Engineering into an Advanced Decision Support as an Integral Part of the Business Strategy

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Part of the book series: Advanced Information and Knowledge Processing ((AI&KP))

Abstract

IT-based decision support is in the heart of business intelligence. It should be based on a successful integration of data analysis techniques and certain system engineering (like system dynamics) concepts. This contribution introduces in the large realm of IT-based decision support and its meaning for a modern business strategy. Central is the relationship to Business Intelligence with its own characteristics and requirements. The relevant data mining techniques are summarized and characterized by its special role within traditional business intelligence approaches.

As an holistic approach this chapter tends to combine a classical data-centric approach with a modern system-engineering concept (“system of systems”-thinking). As a result, this new approach leads to an advanced concept of Adaptive Business Intelligence. It will be characterized and described by several successful examples.

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Correspondence to Zafer-Korcan Görgülü .

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Görgülü, ZK., Pickl, S. (2013). Adaptive Business Intelligence: The Integration of Data Mining and Systems Engineering into an Advanced Decision Support as an Integral Part of the Business Strategy. In: Rausch, P., Sheta, A., Ayesh, A. (eds) Business Intelligence and Performance Management. Advanced Information and Knowledge Processing. Springer, London. https://doi.org/10.1007/978-1-4471-4866-1_4

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  • DOI: https://doi.org/10.1007/978-1-4471-4866-1_4

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4865-4

  • Online ISBN: 978-1-4471-4866-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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