KPI Dependency Analysis
by
Branimir Wetzstein
—
last modified
Apr 26, 2012 11:41
Definitions
Term: KPI Dependency Analysis |
Domain: Cross-cutting issues | ||||
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Engineering and Design (KM-ED) |
Adaptation and Monitoring (KM-AM) |
Quality Definition, Negotiation and
Assurance (KM-QA) |
Generic (domain independent) |
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D o m a i n : L a y e r s |
Business Process Management (KM-BPM) |
Key Performance Indicators (KPIs) which are typically based on
high level process metrics (e.g., order fullfilment time) depend on
many lower-level influential metrics (a.k.a. influential factors), such
as process data, duration of individual process activities, and availability of service infrastructure
etc. The goal of KPI dependency analysis is to find the main
influential metrics which lead to good or bad KPI values (measured
against KPI targets) for different process
instances. One possible approach to dependency analysis is to use machine learning, in particular decision tree induction, in order to learn the dependencies on the influential metrics and their values that lead to KPI target violations based on historical process instances . [Wetzstein et al., 2009] |
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Service Composition and
Coordination (KM-SC) |
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Service Infrastructure (KM-SI) |
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Generic (domain independent) |
Competencies
- USTUTT: Process Performance Monitoring and Analysis; http://www.iaas.uni-stuttgart.de/indexE.php; Branimir Wetzstein, Dimka Karastoyanova, Frank Leymann
- TUW: Process Performance Monitoring and Analysis; http://www.infosys.tuwien.ac.at/;
Philipp Leitner, Schahram Dustdar
References
- [Wetzstein et al., 2009] Branimir Wetzstein, Philipp Leitner,
Florian Rosenberg, Ivona Brandic, Schahram Dustdar, Frank Leymann:
Monitoring and Analyzing Influential Factors of Business Process
Performance. In: Proceedings of the 13th IEEE Enterprise
Distributed Object Conference (EDOC 2009), 2009.