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KPI Dependency Analysis

by Branimir Wetzstein last modified Apr 26, 2012 11:41

Definitions

Term:
KPI Dependency Analysis
Domain: Cross-cutting issues
Engineering and Design
(KM-ED)
Adaptation and Monitoring
(KM-AM)
Quality Definition, Negotiation and Assurance
(KM-QA)
Generic
(domain independent)
D
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L
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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]
Service Composition and Coordination
(KM-SC)




Service Infrastructure
(KM-SI)




Generic
(domain independent)




 

Competencies


 

References

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