Data Warehouse Processes: An Multidimensional Meta Modeling Framework
Data warehouses are complex systems consisting of many components which store highly aggregated data for decision support. Due to the role of the data warehouses in the daily business work of an enterprise, the requirements for the design and the implementation are dynamic and subjective. The nature of the work of managers and analysts implies that their requirements are often changing and do not reach a final state, i.e., their requirements are dynamic and subjective. They do not only demand faster response time to their queries (which may be achieved by ordering new and faster hardware), they also want more information, e.g., access to data which are currently not present in data warehouse, or a higher quality of their data, e.g. query results with less incorrect values.