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EDOC
2009
IEEE

Enterprise Architecture Analysis for Data Accuracy Assessments

9 years 2 months ago
Enterprise Architecture Analysis for Data Accuracy Assessments
- Poor data in information systems impede the quality of decision-making in many modern organizations. Manual business process activities and application services are never executed flawlessly which results in steadily deteriorating data accuracy, the further away from the source the data gets, the poorer its accuracy becomes. This paper proposes an architecture analysis method based on Bayesian Networks to assess data accuracy deterioration in a quantitative manner. The method is model-based and uses the ArchiMate language to model business processes and the way in which data objects are transformed by various operations. A case study at a Swedish utility demonstrates the approach.
Per Närman, Pontus Johnson, Mathias Ekstedt,
Added 16 Aug 2010
Updated 16 Aug 2010
Type Conference
Year 2009
Where EDOC
Authors Per Närman, Pontus Johnson, Mathias Ekstedt, Moustafa Chenine, Johan König
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