Data warehouses began their existence as a means for data to support management. As needs grew, however, the data warehouse expanded into a means of validating and supporting decisions for the business. This evolution into both managerial and operational data has made the data warehouse into a transformation hub. This PDF by Hans-Georg Kemper and Henning Baars take a very academic look at how data warehousing has lead to the transformation hub, and the steps towards that transformation, and the architecture resulting from the change. The paper begins by giving an introduction of business intelligence and how it's lead to the revolution of data as a strategic asset in business. It then moves to explaining the application domains for the transformation hubs, such as Information Logistics: With the diffusion of integrated applications, e.g. for Customer Relationship Management (CRM) or Supply Chain Management (SCM), and the demand for application-spanning services like security-checks, pro-active fraud-detection, or on-site localization of service issues, the potential of Business Process Management and BAM solutions becomes apparent: respective solutions require infrastructures for data exchange, integration, harmonization, and distribution (Furness 2004, Chemburkar et al. 2006, Nguyen 2005, Raden 2003, Stefanovic & Radenkovic & Stefanovic 2007, Watson 2005, Baars & Kemper & Lasi & Siegel 2007). As THs are innately designed for mass data processing, they are ideal building blocks for large-scale integration solutions. In contrast to the integrated concepts discussed before, these approaches are focusing more on data exchange along processes (Bucher & Dinter 2008) than across managerial levels. Closed-loop and Active Data Warehousing are often following information logistics initiatives, as they draw additional value from the achieved data integration. Other application domains include Integrated management concepts, analytical access for lower managerial levels, and centralization and utilization. The PDF them moves into the architecture of the transformation hub, which includes the transformation components, data storage, service provision interfaces, administration interfaces, and meta data management. The PDF also goes into the steps for transformation, and case studies of where transformation hubs proved to help companies achieve success.