This technique is used for specifying
user requirements and measuring the actual values for data quality in the available
data sources. Due to space constraints, next we only show how the technique is
applied to the accuracy, consistency, and completeness dimensions. For accuracy
we have the following:
a. Specifying user requirements (data consumer users).
??? Goal: Specify the level of accuracy required for each data element in a
query.
Data Quality-Based Requirements Elicitation for Decision Support Systems
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??? Question: What is the maximum acceptable difference between the answers
obtained and the actual value of the data element in the real world?
??? Metric:.The user must specify the accepted difference (in %) between
the value of a data element in the data warehouse and its value in the
real world (Quix, Jarke, Jeusfeld, Vassiliadis, Lenzerini, Calvanese, &
Bouzeghoub, 2002).
b. Measuring accuracy in the data sources (data producer users).
??? Goal:.Determine the accuracy of the data in each source.
??? Question:.What is the divergence between the value of the data in the
source and in the real world?
??? Metric:.Accuracy of the data source for a certain attribute.
??? Measuring.
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