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.
Kemper, Hans-Georg and Baars, Henning, "Impact of service-oriented architectures (SOA) on business process standardization - Proposing a research model" (2009). ECIS 2009 Proceedings. 228.