Analysis for detecting and explaining exceptions in business data

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

In this paper we describe the concepts of automatic analysis for the exceptional patterns which are hidden in a large set of business data. These exceptions are interesting to be investigated further for their causes and explanations, as they provide important decision support. The analysis process is driven by diagnostic drill-down operations following the equations of the information structure in which the data are organised. Using business intelligence, the analysis method can generate explanations supported by the data. The methodology was tested on a case study and was reflected in considering the practical aspects of its application procedure.
Original languageEnglish
Title of host publicationProceedings of the 26th Bled eConference
EditorsDianne Lux Wigand, et al
Place of PublicationBled
PublisherUnknown Publisher
Pages349-358
ISBN (Print)9789612322687
Publication statusPublished - 2013

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Competitive intelligence
Industry

Cite this

Liu, L., & Daniëls, H. A. M. (2013). Analysis for detecting and explaining exceptions in business data. In D. Lux Wigand, & et al (Eds.), Proceedings of the 26th Bled eConference (pp. 349-358). Bled: Unknown Publisher.
Liu, L. ; Daniëls, H.A.M. / Analysis for detecting and explaining exceptions in business data. Proceedings of the 26th Bled eConference. editor / Dianne Lux Wigand ; et al. Bled : Unknown Publisher, 2013. pp. 349-358
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Liu, L & Daniëls, HAM 2013, Analysis for detecting and explaining exceptions in business data. in D Lux Wigand & et al (eds), Proceedings of the 26th Bled eConference. Unknown Publisher, Bled, pp. 349-358.

Analysis for detecting and explaining exceptions in business data. / Liu, L.; Daniëls, H.A.M.

Proceedings of the 26th Bled eConference. ed. / Dianne Lux Wigand; et al. Bled : Unknown Publisher, 2013. p. 349-358.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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AU - Daniëls, H.A.M.

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N2 - In this paper we describe the concepts of automatic analysis for the exceptional patterns which are hidden in a large set of business data. These exceptions are interesting to be investigated further for their causes and explanations, as they provide important decision support. The analysis process is driven by diagnostic drill-down operations following the equations of the information structure in which the data are organised. Using business intelligence, the analysis method can generate explanations supported by the data. The methodology was tested on a case study and was reflected in considering the practical aspects of its application procedure.

AB - In this paper we describe the concepts of automatic analysis for the exceptional patterns which are hidden in a large set of business data. These exceptions are interesting to be investigated further for their causes and explanations, as they provide important decision support. The analysis process is driven by diagnostic drill-down operations following the equations of the information structure in which the data are organised. Using business intelligence, the analysis method can generate explanations supported by the data. The methodology was tested on a case study and was reflected in considering the practical aspects of its application procedure.

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Liu L, Daniëls HAM. Analysis for detecting and explaining exceptions in business data. In Lux Wigand D, et al, editors, Proceedings of the 26th Bled eConference. Bled: Unknown Publisher. 2013. p. 349-358