Data Quality
**Data Quality**
What is Data Quality?
Data quality refers to the overall usability of data for its intended purpose. It encompasses various dimensions like accuracy, completeness, consistency, validity, timeliness, and uniqueness. Poor data quality can lead to flawed analysis, incorrect decision-making, operational inefficiencies, and compliance issues. Data quality management involves profiling, cleansing, standardizing, and monitoring data to ensure it meets defined quality standards. Commonly used techniques include data validation rules, data deduplication, data profiling tools, and data governance frameworks.
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