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A Data Quality Primer: Using Data Quality Tools and Techniques to Improve Business Value

Cover

As the use of business intelligence (BI) tools has increased among today’s organizations, data quality has been thrust into the spotlight. Business executives want BI to foster better decision-making, but low quality data will transcend to poor judgments.

In order to avoid this pitfall, forward-thinking companies are implementing data quality management programs and gaining peace of mind that the information they use to measure and evaluate corporate performance is accurate.

So what makes up a sound data quality management program? This e-book explores the various components of a solid program and explains the 5 key aspects of a data quality management strategy.

Vendor:
Melissa Data Corp
Posted:
07 Nov 2012
Published
07 Nov 2012
Format:
PDF
Length:
48 Page(s)
Type:
White Paper
Language:
English

This resource is no longer available.