Abstract

Originally, Data Warehouses (DWH) were conceived to be components for the data support of

controlling and management. From early on, this brought along the need to cope with extensive data

preparation, integration, and distribution requirements. In the growing infrastructures for managerial

support (“Business Intelligence”), the DWH turned into a central data hub for decision support. As

the business environment and the underlying technical infrastructures are fostering an ever increasing

degree of systems integration, the DWH has been recognized to be a pivotal component for all sorts of

data transformation and data integration operations. Nowadays, the DWH is supposed to process both

managerial and operational data – it becomes a transformation hub (TH). This article delineates the

relevant motives that drive the trend towards THs and the resulting requirements. The logical

composition of a TH is developed based on data transformation steps. Two case studies exemplify the

application of the resulting architecture.

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