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Designing a Balanced Data Quality Scorecard
Abstract
As organizations embrace strategic data quality management, they seek to implement data quality scorecards that display data quality metric results for their information systems. However, defining the metrics that populate these scorecards can be uncharted territory for the organization’s data management team. Negotiations with users over the design of data quality scorecards and scorecard metrics can be facilitated by establishing a common terminology and understanding of dimensions and metric types. This paper presents a classification scheme for metrics and some of the trade-offs related to balancing the composition of a scorecard by types of metrics.
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