Bridging the gap between data warehouses and business processes: a business intelligence perspective for event-driven process chains

Abstract

Data warehouse (DWH) information is accessed by business processes, and sometimes may also initiate changes of the control flow of business process instances. Today, there are no conceptual models available that make the relationship between the DWH and the business processes transparent. In this paper, we extend the event-driven process chain, a business process modeling language, with an additional perspective to make this relationship explicit in a conceptual model. The model is tested with example business processes.