Data quality refers to the accuracy, completeness, consistency, and reliability of data. High-quality data is essential for making informed decisions, as it ensures that the information used is trustworthy and relevant. Poor data quality can lead to incorrect conclusions and ineffective strategies. To assess data quality, organizations often use various metrics and techniques, such as data validation and data cleansing. These processes help identify and correct errors, ensuring that the data remains useful over time. Maintaining data quality is crucial for businesses, researchers, and any entity that relies on data-driven insights.