Populating a Data Quality Scorecard with Relevant Metrics

Populating a Data Quality Scorecard with Relevant Metrics

Cover

The first step after deciding to institute a data quality score card is to determine which metrics you’ll need to use. Unfortunately, many data governance teams rely on existing measurements for these scorecards—a costly error that can erode the relationship between measurements and the business’ success criteria.

All too often this mistake makes it impossible to react effectively to emerging data quality issues and to determine whether fixing the problems has any real business value. So how can you avoid this folly?

The following white paper explores ways to quality data control and measures to support your overall data quality and governance program. Learn what it takes to provide a framework for defining measurement processes and more. 

Vendor:
SAS
Posted:
01 May 2014
Published
01 May 2014
Format:
PDF
Length:
13 Page(s)
Type:
White Paper
Language:
English
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