Business Intelligence & Analytics for Processes – A Visibility Requirements Evaluation


Graupner, Enrico ; Berner, Martin ; Maedche, Alexander ; Jegadeesan, Harshavardhan



URL: http://digital.ub.uni-paderborn.de/hs/content/titl...
Additional URL: http://digital.ub.uni-paderborn.de/hs/content/page...
Document Type: Conference or workshop publication
Year of publication: 2014
Book title: MKWI 2014 - Multikonferenz Wirtschaftsinformatik : 26. - 28. Februar 2014 in Paderborn ; Tagungsband
Page range: 154-166
Date of the conference: 27.02.2014
Author/Publisher of the book
(only the first ones mentioned)
:
Kundisch, Dennis
Place of publication: Paderborn
Publishing house: Univ.
ISBN: 978-3-00-045311-3
Publication language: English
Institution: Außerfakultäre Einrichtungen > Institut für Enterprise Systems (InES)
Business School > Wirtschaftsinformatik IV (Mädche -2015)
Subject: 650 Management
Abstract: Leveraging Business Intelligence and Analytics (BI&A) for better decision making on the operational level will become a key differentiator for competition. This paper moves beyond the data-centric view and argues that a process-centric use of BI&A is highly beneficial, as it creates visibility by setting single pieces of data into a business process context. We establish a conceptual framework for analyzing if business processes require enhanced visibility of recent BI&A advances like Big Data analytics. Grounded in the Information Processing View of the firm, we argue that enhanced BI&A is particularly valuable for processes with high visibility requirements. These processes are characterized by high process intricacy, interdependence, and importance. We use an exemplary real-world process to illustrate our framework and show why enhanced visibility is needed. Practically, the framework helps organizations to identify processes that require sophisticated BI&A.
Additional information: Online-Ressource

Dieser Eintrag ist Teil der Universitätsbibliographie.




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Graupner, Enrico ; Berner, Martin ; Maedche, Alexander ; Jegadeesan, Harshavardhan Business Intelligence & Analytics for Processes – A Visibility Requirements Evaluation. Kundisch, Dennis 154-166 In: MKWI 2014 - Multikonferenz Wirtschaftsinformatik : 26. - 28. Februar 2014 in Paderborn ; Tagungsband (2014) Paderborn [Conference or workshop publication]


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