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Data Quality

High quality data is accurate, timely, meaningful, and complete. Data-driven DSS must have high quality data; low quality data can result in bad decisions. Assessing or measuring data quality is a preliminary task associated with evaluating the feasibility of a data-driven DSS project.

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