Top 10 Root Causes of Data Quality Problems

Top 10 Root Causes of Data Quality Problems

Cover

Data quality problems can undermine your organization's ability to work efficiently, comply with government regulations and make revenue. The specific technical problems include missing data, misfielded attributes, duplicate records and broken data models to name just a few.

But rather than merely patching up bad data, most experts agree that the best strategy for fighting data quality issues is to understand the root causes and put new processes in place to prevent them. This white paper discusses the top ten root causes of data quality problems and suggests steps the business can implement to prevent them.

Vendor:
Talend
Posted:
01 Aug 2011
Published
01 Aug 2011
Format:
PDF
Length:
14 Page(s)
Type:
White Paper
Language:
English
Already a Bitpipe member? Login here

Download this White Paper!

By submitting you agree to receive email from TechTarget and its partners. If you reside outside of the United States, you consent to having your personal data transferred to and processed in the United States. Privacy