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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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
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