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Home > White Papers > SAS > Populating a Data Quality Scorecard with Relevant Metrics

Populating a Data Quality Scorecard with Relevant Metrics

By: SAS
SAS

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.

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Published:  Mar 14, 2014
Length:  13
Type:  White Paper
Tags : 
sas, data quality, business objectives, quality data, accuracy, lineage, structural consistency, relevant metrics



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