Data quality is the foundation of any business intelligence effort. Data must be accurate, or course, but that is only the very beginning of data quality. It must be complete without including unnecessary information. It must provide a common view of business information at an enterprise level. It must be diligently maintained and enforced.
Data quality must begin at the operational level, and continue through the most complex business analytics, if it is to have any value to your organization. Take the time to watch these three engaging seminars on data quality, and learn how you can tap into the power of pure data:
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Robert Lerner, Current Analysis
Prices, Parts and Payroll: Enterprise-Wide Data Quality
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Larry English, Information Impact International, Inc.
Data Delight: Building a Corporate Data Quality Program
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Claudia Imhoff, Intelligent Solutions, Inc.
Danger! Bad Data Ahead! - Avoiding Data Quality Risks & Consequences
