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. 2013 Jun 1;55(3):728-739.
doi: 10.1016/j.dss.2013.02.008.

Methodological Guidelines for Reducing the Complexity of Data Warehouse Development for Transactional Blood Bank Systems

Affiliations

Methodological Guidelines for Reducing the Complexity of Data Warehouse Development for Transactional Blood Bank Systems

Pedro L Takecian et al. Decis Support Syst. .

Abstract

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.

Keywords: blood donation process; conceptual modeling; data analysis; data warehouse; heterogeneous systems; modular architecture.

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Figures

Figure 1
Figure 1
Data Warehouse Architecture for REDS-II.
Figure 2
Figure 2
Conceptual model of normalized database (Extended Entity-Relationship diagram).
Figure 3
Figure 3
Examples of integrity constraints for the donation process.
Figure 4
Figure 4
Data warehouse visualization of blood center versus HCV analysis
Figure 5
Figure 5
Another visualization for blood center values HCV analysis
Figure 6
Figure 6
Number of donations at Hemope blood center per month according to blood type (2010)
Figure 7
Figure 7
Number of donations at Hemope blood center per day according to blood type (Feb/2010)

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