Today, many organizations use data warehouse and online analytical processing (OLAP) systems to support their decision-making processes. These systems use a multidimensional model to express users’ analysis requirements. A multidimensional model includes measures that represent the focus of analysis, dimensions used to analyze measures according to various viewpoints, and hierarchies that provide the possibility to consider measures at different levels of detail.
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© 2009 Springer-Verlag Berlin Heidelberg
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Malinowski, E., Zimányi, E. (2009). Conclusions and Future Work. In: Advanced Data Warehouse Design. Data-Centric Systems and Applications. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74405-4_8
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DOI: https://doi.org/10.1007/978-3-540-74405-4_8
Publisher Name: Springer, Berlin, Heidelberg
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