Data enrichment in analytics involves enhancing existing datasets with additional information from external sources. This process improves the quality and completeness of data, allowing for more thorough analysis and insights. For example, combining customer information with demographic or behavioral data helps organizations understand their target audience better and make informed decisions. Data enrichment supports more effective marketing strategies, personalized offerings, and improved operational efficiency, ultimately driving better business outcomes.