Article in Journal ART-2010-07

BibliographyWetzstein, Branimir; Leitner, Philipp; Rosenberg, Florian; Dustdar, Schahram; Leymann, Frank: Identifying Influential Factors of Business Process Performance Using Dependency Analysis.
In: Enterprise Information Systems. Vol. 5(1).
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
pp. 79-98, english.
Taylor & Francis, December 2010.
Article in Journal.
CR-SchemaH.4.1 (Office Automation)

We present a comprehensive framework for identifying influential factors of business process performance. In particular, our approach combines monitoring of process events and Quality of Service (QoS) measurements with dependency analysis to effectively identify influential factors. The framework uses data mining techniques to construct tree structures to represent dependencies of a Key Performance Indicator (KPI) on process and QoS metrics. These dependency trees allow business analysts to determine how process KPIs depend on lower-level process metrics and QoS characteristics of the IT infrastructure. The structure of the dependencies enables a drill-down analysis of single factors of influence to gain a deeper knowledge why certain KPI targets are not met.

Department(s)University of Stuttgart, Institute of Architecture of Application Systems
Entry dateMay 15, 2010
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