Data quality is one of the most critical issues facing every enterprise and whether data be duplicate, stale, incomplete, invalid, conflicting or just plain incorrect the impact of enterprise decision making and ultimately enterprise success and be significant and severe. As the number of data sources grows, as the speed with which data is collected and utilized increases, and as the raw volume expands almost exponentially, the impacts of poor data quality becomes more significant than ever before. IT executives must build strong data governance capabilities to ensure that enterprise data is kept unique, timely, complete, valid, consistent, and accurate.
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