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.

随着时间的推移，由于数据源的异构性不断增加，数据仓库 (DW) 系统变得更加难以开发。尽管研究和技术取得了进步，但 DW 项目仍然太慢，无法产生务实的结果。在这里，我们解决以下问题：如何降低用于集成异构事务信息系统的 DW 开发的复杂性？为了回答这个问题，我们提出了基于概念建模和数据分析循环的方法指南，以推动模块化 DW 系统的构建。这些指南应用于献血领域，成功降低了 DW 开发的复杂性。