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.

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hdl.handle.net/1765/87437
15th International Conference on Enterprise Information Systems, ICEIS 2013
Rotterdam School of Management (RSM), Erasmus University

Liu, L., Daniels, H., & Hofman, W. (2013). Detecting and explaining business exceptions for risk assessment. Presented at the 15th International Conference on Enterprise Information Systems, ICEIS 2013. Retrieved from http://hdl.handle.net/1765/87437