Technology plays a significant role in improving data quality. Tools such as data management platforms, data cleansing software, and machine learning algorithms can automate many aspects of data quality management. These tools can identify and correct errors, integrate data from various sources, and provide real-time updates to ensure data remains accurate and relevant.