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Process Warehouse in Practice: A Goal-driven Method for Business Process Analysis: : A Goal-driven Method for Business Process Analysis.
, , Institutionen för data- och systemvetenskap.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2011 (English)In: Software Process: Improvement and Practice (SPIP), Vol. 24Article in journal (Refereed)
Abstract [en]

Abstract. Process analysis and improvement, one of the core phases in the business process management life cycle, is reaching the top of the agenda for many enterprises and organizations. An emerging approach to analysing business processes involves the use of process-oriented data warehouses to collect information about executed processes to enable their detailed analysis and thereby provide bases for possible improvements. However, very little work has been carried out on employing business orientation in the design and utilization of a process warehouse. The approach presented in this study addresses that limitation by proposing a method that relates business goals to the information from the warehouse. To do so, we start by defining a desired goal structure that concerns an existing business process. The obtained goal model is firstly utilized for scoping and designing a corresponding data model for a process warehouse, and further for retrieving the information from the warehouse to examine the fulfilment of the goals of interest. The key benefits of the proposed method are the provision of the relevant and accurate business process information as well as tracing the process-related goals to the process execution data and further to the analysis of the process. As validation of the proposed method we develop a prototype, and a health-care process is used as an illustrative example. Also, to demonstrate the method quality, we perform an experiment on the effectiveness of the information access and retrieval.

Place, publisher, year, edition, pages
WILEY , 2011. Vol. 24
Keywords [en]
Business process management, Business process monitoring, Business process analysis, Process warehouse.
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-153300DOI: DOI: 10.1002/smr.555OAI: oai:DiVA.org:su-153300DiVA, id: diva2:1185185
Note
this is a duplicate, how canit be removed?Available from: 2018-02-23 Created: 2018-02-23

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Citation style
  • apa
  • ieee
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  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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  • asciidoc
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