Artikel in Tagungsband INPROC-2009-68

Bibliograph.
Daten
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..
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik.
S. 1-6, englisch.
Springer, Oktober 2009.
Artikel in Tagungsband (Konferenz-Beitrag).
CR-Klassif.H.2.7 (Database Administration)
H.2.8 (Database Applications)
Kurzfassung

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.

Abteilung(en)Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Anwendersoftware
Projekt(e)BIA
Eingabedatum14. August 2009
   Publ. Abteilung   Publ. Institut   Publ. Informatik