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Data accuracy assessment using enterprise architecture
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DOI：10.1080/17517575.2010.507878.png)
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Abstract
En 中文
Errors in business processes result in poor data accuracy. This article proposes an architecture analysis method which utilises ArchiMate and the Probabilistic Relational Model formalism to model and analyse data accuracy. Since the resources available for architecture analysis are usually quite scarce, the method advocates interviews as the primary data collection technique. A case study demonstrates that the method yields correct data accuracy estimates and is more resource-efficient than a competing sampling-based data accuracy estimation method.
Keywords:
accuracy
data quality
enterprise architecture
probabilistic relational models
architecture analysis
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