Data validation primarily aims to achieve which of the following?

Data validation is an essential process in database management, focusing on maintaining the integrity and accuracy of data. The primary aim of data validation is to ensure that the data entered into a database adheres to predefined formats, constraints, and rules, thus preserving its quality over time. By implementing data validation techniques, organizations can reduce errors, eliminate inconsistencies, and ensure that users are working with reliable information.

Maintaining data accuracy and format is vital because it directly impacts decision-making processes, reporting, and analysis. Validating data ensures it is complete, pertinent, and appropriately formatted, which helps to prevent potential issues that could arise from using incorrect or improperly formatted data. Therefore, data validation plays a crucial role in upholding the overall data quality within a database management system.

While improving data access speed, ensuring compliance with regulations, and enhancing visualization capabilities are important aspects of database management, they are not the primary focus of data validation. Access speed deals more with optimization and architecture, compliance with regulations often involves broader policy adherence, and visualization capabilities focus on how data is presented rather than its underlying accuracy and integrity.