Authors: Anna B.F. Carneiro-Proietti, Brian Custer, Ester C. Sabino, Fred Lucena, João E. Ferreira, Karen S. Schlumpf, Katherine Kavounis, Kelly R. Braghetto, Marcio K. Oikawa, Michael P. Busch, Paulo Rocha, Pedro L. Takecian, Susan Acker
Tags: 2013, conceptual modeling
Over time, data warehouse (DW) systems have become more difficult to develop because of the growing heterogeneity of data sources. Despite advances in research and technology, DW projects are still too slow for pragmatic results to be generated. Here, we address the following question: how can the complexity of DW development for integration of heterogeneous transactional information systems be reduced? To answer this, we proposed methodological guidelines based on cycles of conceptual modeling and data analysis, to drive construction of a modular DW system. These guidelines were applied to the blood donation domain, successfully reducing the complexity of DW development.
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