Artikel in Tagungsband INPROC-2011-24

Niedermann, Florian; Maier, Bernhard; Radeschütz, Sylvia; Schwarz, Holger; Mitschang, Bernhard: Automated Process Decision Making based on Integrated Source Data.
In: Abramowicz, Witold (Hrsg): Proceedings of the 14th International Conference on Business Information Systems (BIS 2011).
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik.
Lecture Notes in Business Information Processing, S. 1-10, englisch.
Springer, Juni 2011.
Artikel in Tagungsband (Konferenz-Beitrag).
CR-Klassif.H.4.1 (Office Automation)
H.2.8 (Database Applications)
H.5.2 (Information Interfaces and Presentation User Interfaces)
KeywordsData Mining, Decision Automation, Data Integration, Business Process Management, Data-driven Processes

The success of most of today's businesses is tied to the efficiency and effectiveness of their core processes. Yet, two major challenges often prevent optimal processes: First, the analysis techniques applied during the optimization are inadequate and fail to include all relevant data sources. Second, the success depends on the abilities of the individual analysts to spot the right designs amongst a plethora of choices. Our deep Business Optimization Platform addresses these challenges through specialized data integration, analysis and optimization facilities. In this paper, we focus on how it uses formalized process optimization patterns for detecting and implementing process improvements.

Abteilung(en)Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Anwendersoftware
Eingabedatum2. Mai 2011
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