Data Validation
Data validation is the process of ensuring that data is accurate, complete, and consistent. It involves checking data for errors, inconsistencies, and anomalies to ensure that it meets the quality standards required for analysis and decision-making. Data validation is an important step in the data cleaning process, as it helps to identify and correct errors that can lead to incorrect analysis and decision-making. Data validation can be performed manually or using automated tools and techniques, such as data profiling, data quality rules, and data cleansing. The goal of data validation is to ensure that data is fit for purpose and can be used with confidence in decision-making processes.
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