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Populating a Data Quality Scorecard with Relevant Metrics


This paper explores ways to qualify data control and measures to support the governance program. It will examine how data management practitioners can define metrics that are relevant. Organizations must look at the characteristics of relevant data quality metrics and provide a process for understanding how specific data quality issues affect their business. The next step is to provide a framework for defining measurement processes to quantify the business value of high-quality data.

Tags : sas, data quality, business objectives, quality data, accuracy, lineage, structural consistency, relevant metrics, business relevance, measured value, emergent patterns, quality metrics, potential classifications, data analyst, scorecard, reporting the scorecard, improve scorecard, business process

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Published:  Mar 14, 2014
Length:  13
Type:  White Paper