What is the purpose of data validation?Review LaterEnhancing data qualityRemoving inconsistencies from dataEnsuring data accuracyMonitoring data continuously

Purpose of Data Validation

Data validation is a crucial process in ensuring the integrity and quality of data within a system. Here are the primary purposes of data validation:

1. Enhancing Data Quality: By implementing data validation, organizations can ensure that the data entered into systems meets certain quality standards, which includes relevance, completeness, and consistency.

2. Removing Inconsistencies from Data: Data validation helps identify and rectify inconsistencies, ensuring that data across various fields or records align and conform to predefined rules.

3. Ensuring Data Accuracy: Data validation checks the accuracy of incoming data against known parameters and criteria, significantly reducing errors and enhancing reliability.

4. Monitoring Data Continuously: While not its primary purpose, data validation does involve continuous monitoring to ensure ongoing compliance with quality standards and to catch any new inconsistencies or errors that arise over time.

In summary, the primary purpose of data validation revolves around enhancing data quality, ensuring accuracy, and maintaining consistency within datasets. By doing so, organizations can rely on their data for critical decision-making processes.