What is Data Quality?

Data Quality refers to the accuracy, completeness, consistency, and reliability of data. # It is the degree to which data can be trusted for making decisions and conducting analyses.

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Why Data Quality Matters

# High-quality data ensures informed decision-making. # It enhances trust in data-driven insights. # Poor data quality can lead to costly errors and misinformation.

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Key Dimensions of Data Quality

1. Accuracy: Data should be free from errors and reflect reality. 2. Consistency: Data should be uniform and not contradict itself. 3. Reliability: Data should be trustworthy and up-to-date.

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The Impact of Poor Data Quality

– Missed opportunities – Reduced customer satisfaction – Increased operational costs – Legal and compliance issues

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