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Data Quality Risk Mitigation
An Experis IT White Paper
www.experis.us/bi
Introduction
By its very nature, data quality is a variable and often unknown quantity. Why? The data quality issues inherent in yesterday’s data sets do not equate to quality issues that will arise in tomorrow’s data sets. To successfully execute on your organization’s Enterprise Business Intelligence (EBI) strategy, you must acknowledge these issues and prepare your team to deal with them. This "fact" of EBI life demands a straightforward approach for success, and this white paper discusses how risk mitigating techniques addressing data quality can be applied throughout the phases of a successful methodology.
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