Data Quality

Data Quality refers to the degree to which data is accurate, complete, consistent, timely, valid, and reliable for its intended use. High-quality data supports effective decision-making, analytics, and compliance, while poor data quality can lead to errors, inefficiencies, and financial or reputational risk. Common dimensions of data quality include accuracy (correctness), completeness (no missing values), consistency (uniform formatting and values), timeliness (up-to-date), and validity (conformance to defined rules or formats). Data quality is maintained through processes like data profiling, validation, cleansing, deduplication, and governance.