Cookie policy: This site uses cookies (small files stored on your computer) to simplify and improve your experience of this website. Cookies are small text files stored on the device you are using to access this website. For more information on how we use and manage cookies please take a look at our privacy and cookie policies. Some parts of the site may not work properly if you choose not to accept cookies.

sections
Home > SAS > Populating a Data Quality Scorecard with Relevant Metrics
 

Populating a Data Quality Scorecard with Relevant Metrics

White Paper Published By: SAS
SAS
Published:  Mar 14, 2014
Type:  White Paper
Length:  13 pages

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