The modeling of Business Intelligence systems (BI) encompasses a variety of different facets that need to be evaluated in the context of operational BI, agile warehousing, real-time, and self-service BI. This book describes the architecture and design of enterprise-wide analytical information systems, particularly in light of increasingly agile business requirements and their support through BI methods. In addition to presenting best practices for historical data management and data mart modeling, the establishment of an Enterprise Data Warehouse is of central importance. The following topics are covered in detail: - Business Intelligence architecture - Multidimensional data structures - Semantic multidimensional modeling - Components and variations of the star schema - Historical data management and time dependency in the data warehouse - Fact modeling - Dimension modeling.