Data Quality Assessment

Data quality assessment involves evaluating the accuracy, consistency, completeness, and reliability of data. It ensures that the information used for decision-making is trustworthy and useful. Key aspects include checking for errors, missing information, and inconsistencies across different sources. High-quality data supports better outcomes in various fields, from business to healthcare. By identifying and correcting issues, organizations can improve their operations and better serve their clients or stakeholders. Essentially, it’s about ensuring that the data we rely on is sound and meaningful.