Identifying influential factors of business process performance using dependency analysis

Authors:
Branimir Wetzstein;Philipp Leitner;Florian Rosenberg;Schahram Dustdar;Frank Leymann
Affiliations:
Institute of Architecture of Application Systems, University of Stuttgart, Stuttgart, Germany;Distributed Systems Group, Vienna University of Technology, Vienna, Austria;CSIRO ICT Centre, Canberra, ACT, Australia;Distributed Systems Group, Vienna University of Technology, Vienna, Austria;Institute of Architecture of Application Systems, University of Stuttgart, Stuttgart, Germany
Venue:
Enterprise Information Systems - Empowering Enterprises Through Next-Generation Enterprise Computing - 13th International IEEE EDOC Conference (EDOC 2009)
Year:
2011

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Abstract

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.