Data Quality Tools with advanced augmentation reduce manual errors, improve data accuracy, strengthen governance, and support diverse data types across enterprise data environments Data-driven processes throughout data management organizations, integrating it is critical to incorporate advanced augmentation features in the Data Quality Tools offerings has become crucial. The aim of utilizing augmentation in Data Quality Tools lies in reducing manual errors, enhancing improve the accuracy of the data