Detecting and explaining business exceptions for risk assessment

L. Liu, H.A.M. Daniëls, W. Hofman

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

Abstract

Systematic risk analysis can be based on causal analysis of business exceptions. 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. 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.
Original languageEnglish
Title of host publicationProceedings of the 15th International Conference on Enterprise Information Systems (ICEIS 2013)
EditorsS. Hammoudi, L. Maciaszek, J. Cordeiro, J. Dietz
Place of PublicationAngers, France
PublisherSpringer Verlag
Pages442-447
Volume1
ISBN (Print)9789898365594
Publication statusPublished - 2013
Event15th International Conference on Enterprise Information Systems (ECEIS 2013) - Angers, France
Duration: 4 Jul 20137 Jul 2013

Publication series

NameLecture Notes in Business Information Processing
Volume1

Conference

Conference15th International Conference on Enterprise Information Systems (ECEIS 2013)
CountryFrance
CityAngers
Period4/07/137/07/13

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Liu, L., Daniëls, H. A. M., & Hofman, W. (2013). Detecting and explaining business exceptions for risk assessment. In S. Hammoudi, L. Maciaszek, J. Cordeiro, & J. Dietz (Eds.), Proceedings of the 15th International Conference on Enterprise Information Systems (ICEIS 2013) (Vol. 1, pp. 442-447). (Lecture Notes in Business Information Processing; Vol. 1). Springer Verlag.