Data quality refers to how good or reliable the data is for its intended purpose. High-quality data is accurate, complete, consistent, and up-to-date, making it useful for making decisions or solving problems. If the data is of poor quality, it might lead to mistakes or wrong conclusions. For example, if a customer’s address is wrong in a shipping database, the package might go to the wrong place (low data quality).
