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.
|Title of host publication||Proceedings of the 15th International Conference on Enterprise Information Systems (ICEIS 2013)|
|Editors||S. Hammoudi, L. Maciaszek, J. Cordeiro, J. Dietz|
|Place of Publication||Angers, France|
|Publication status||Published - 2013|
|Event||15th International Conference on Enterprise Information Systems (ECEIS 2013) - Angers, France|
Duration: 4 Jul 2013 → 7 Jul 2013
|Name||Lecture Notes in Business Information Processing|
|Conference||15th International Conference on Enterprise Information Systems (ECEIS 2013)|
|Period||4/07/13 → 7/07/13|
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.