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Process mining and data aggregation strategies for business collaboration networks

  • Business collaboration and information sharing becomes more and more important for companies, mainly driven by economics of scale and the strategic value of network knowledge. In this paper we will describe how process mining results will increase the willingness of cross company data aggregation and the usage of shared business collaboration infrastructures. The results of our contributions are based on process and data analyses in the customer relation management of a leading German passenger airline. As information sharing is considered a central challenge among supply chain partners, we describe the role of data aggregation as a requirement for process mining in collaborative infrastructures. Aggregating data on the one hand can preserve companies from compromising their local data. On the other hand valuable network information may get lost. We use process mining to derive collaborative business process models. Therefore, we evaluate the impact of data aggregation on the significance of process mining results.

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Metadaten
Author: Kerstin Gerke, Prof. Dr. Gerrit Tamm
URN:urn:nbn:de:0298-opus4-6490
Parent Title (English):Journal Communications of Arab Computer Society
Document Type:Article
Language:English
Date of Publication (online):2014/07/24
Year of first Publication:2008
Publishing Institution:SRH Berlin University of Applied Sciences
Release Date:2014/07/24
Tag:Business Collaboration Networks; Data Aggregation; Process Mining
Volume:1
Issue:1
Page Number:10
Link author profile:https://www.srh-berlin.de/hochschule/hochschulteam/tamm-gerrit/
Peer-reviewed:Keine Angabe - No details
Institutes:Institute of Information Systems (IIS, SRH Berlin)
JEL-Classification:O Economic Development, Technological Change, and Growth
Licence (German):License LogoCreative Commons - Namensnennung-Nicht kommerziell-Keine Bearbeitung
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