Data enhancement is the process of improving existing data by adding new information or refining its quality. This can involve integrating data from various sources, correcting inaccuracies, or filling in missing values. The goal is to create a more comprehensive and reliable dataset that can lead to better insights and decision-making. Techniques for data enhancement include data cleansing, data integration, and data enrichment. For example, data enrichment might involve appending demographic information to customer records, allowing businesses to better understand their audience. Enhanced data can significantly improve analytics, marketing strategies, and overall operational efficiency.