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Methodological guidelines for reducing the complexity of data warehouse development for transactional blood bank systems

2013; Elsevier BV; Volume: 55; Issue: 3 Linguagem: Inglês

10.1016/j.dss.2013.02.008

1873-5797

Pedro Losco Takecian, Márcio K. Oikawa, Kelly Rosa Braghetto, Paulo César da Silva Rocha, Fred Lucena, Katherine Kavounis, Karen S. Schlumpf, Susan Acker, Anna Barbara F. Carneiro‐Proietti, Éster Cerdeira Sabino, Brian Custer, Michael P. Busch, João Eduardo Ferreira,

Peer-to-Peer Network Technologies

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.