Article in Proceedings INPROC-2009-68

Bibliography	Radeschütz, Sylvia; Mitschang, Bernhard: Extended Analysis Techniques For a Comprehensive Business Process Optimization. In: Proc. of the International Conference on Knowledge Management and Information Sharing (KMIS 2009), Portugal, 6.-8. Oktober, 2009.. University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology. pp. 1-6, english. Springer, October 2009. Article in Proceedings (Conference Paper).
CR-Schema	H.2.7 (Database Administration) H.2.8 (Database Applications)
Abstract	Efficient adaption of a company’s business and its business processes to a changing environment is a crucial ability to survive in today’s dynamic world. For optimizing business processes, a profound analysis of all relevant business data in the company is necessary. We define an extended data warehouse approach that integrates process-related data and operational business data. This extended data warehouse is used as the underlying data source for extended OLAP and data mining analysis techniques for a comprehensive business process optimization.
Department(s)	University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems
Project(s)	BIA
Entry date	August 14, 2009