Business Process Oriented Development of Data Warehouse Structures
Michael Böhnlein, Achim Ulbrich-vom Ende · 2000
In recent years data warehouse projects have become popular to most companies. Unfortunately many of these projects come to grief due to missing engineering strategies and modeling standards. The common method for developing multidimensional data structures is deriving relevant datasets from underlying operational data sources. But in fact developing large data schemata for decision support applications requires more knowledge about the underlying business domain. It is obvious that for efficient decision making an approach is required which additionally focuses on goals and strategies of the company. This information can not be extracted by analyzing the operational data sources. We realized that commonly applied business process models can be used to handle this problem. In this paper we present a completely new approach to warehouse development — the derivation of data warehouse structures from business process models.