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Erschienen in:
Digital Transformation at thyssenkrupp: Challenges, Strategies and Examples Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

Enriching Decision Making with Data-Based Thresholds of Process-Related KPIs

verfasst von : Adela del-Río-Ortega, Félix García, Manuel Resinas, Elmar Weber, Francisco Ruiz, Antonio Ruiz-Cortés

Erschienen in: Advanced Information Systems Engineering

Verlag: Springer International Publishing

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Abstract

The continuous performance improvement of business processes usually involves the definition of a set of process performance indicators (PPIs) with their target values. These PPIs can be classified into lag PPIs, which establish a goal that the organization is trying to achieve, though are not directly influenceable by process performers, and lead PPIs, which are influenceable by process performers and have a predictable impact on the lag indicator. Determining thresholds for lead PPIs that enable the fulfillment of the related lag PPI is a key task, which is usually done based on the experience and intuition of the process owners. However, the amount and nature of currently available data make it possible for data-driven decisions to be made in this regard. This paper proposes a method that applies statistical techniques for thresholds determination successfully employed in other domains. Its applicability has been evaluated in a real case study, where data from more than a thousand process executions was used.

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Vorheriges Kapitel Discovering Causal Factors Explaining Business Process Performance Variation
Nächstes Kapitel Characterizing Drift from Event Streams of Business Processes
Fußnoten
1
No further information can be provided about the company and its business processes due to privacy reasons.
 
2
Its identity is not revealed for confidentiality restrictions.
 
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Metadaten
Titel
Enriching Decision Making with Data-Based Thresholds of Process-Related KPIs
verfasst von
Adela del-Río-Ortega
Félix García
Manuel Resinas
Elmar Weber
Francisco Ruiz
Antonio Ruiz-Cortés
Copyright-Jahr
2017
Buch
Advanced Information Systems Engineering

Print ISBN: 978-3-319-59535-1

Electronic ISBN: 978-3-319-59536-8

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-59536-8_13

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