title: Methodological Guidelines for Reducing the Complexity of Data Warehouse Development for Transactional Blood Bank Systems.
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.
authors.affiliation: University of São Paulo, Inst. of Math. and Statistics, São Paulo-SP, Brazil.
authors.forename: Pedro L
authors.initials: PL
authors.lastname: Takecian
authors.forename: Marcio K
authors.initials: MK
authors.lastname: Oikawa
authors.forename: Kelly R
authors.initials: KR
authors.lastname: Braghetto
authors.forename: Paulo
authors.initials: P
authors.lastname: Rocha
authors.forename: Fred
authors.initials: F
authors.lastname: Lucena
authors.forename: Katherine
authors.initials: K
authors.lastname: Kavounis
authors.forename: Karen S
authors.initials: KS
authors.lastname: Schlumpf
authors.forename: Susan
authors.initials: S
authors.lastname: Acker
authors.forename: Anna B F
authors.initials: AB
authors.lastname: Carneiro-Proietti
authors.forename: Ester C
authors.initials: EC
authors.lastname: Sabino
authors.forename: Brian
authors.initials: B
authors.lastname: Custer
authors.forename: Michael P
authors.initials: MP
authors.lastname: Busch
authors.forename: João E
authors.initials: JE
authors.lastname: Ferreira
keywords: blood donation process; conceptual modeling; data analysis; data warehouse; heterogeneous systems; modular architecture