Data quality refers to the accuracy, completeness, 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 costly mistakes, affecting businesses and organizations. To maintain data quality, organizations often implement processes like data cleansing and validation. This involves checking for errors, inconsistencies, and missing information. Tools and techniques, such as data profiling and data governance, help ensure that the data remains accurate and useful over time, ultimately supporting better outcomes for stakeholders and customers.