What does data enrichment involve?

Data enrichment involves enhancing existing data with additional information to provide more context and make it more valuable. This process allows organizations to gain deeper insights by integrating external data sources, such as demographic information, market trends, or other relevant datasets. The goal is to improve the accuracy and completeness of the original data, facilitating more informed decision-making and deeper analysis.

While cleaning data for better quality is essential in data management, it does not represent data enrichment, which focuses on adding new information rather than just improving what is already there. Reducing data size pertains to optimizing data processing and does not relate to enriching it. Similarly, creating new data from scratch is a different process that does not involve enhancing existing data. Overall, data enrichment is about augmenting the current dataset to enhance value and insight, clearly reflected in the correct answer.