Final answer:
Data enhancement is the process of adding to or improving existing information to make it more useful, particularly when incorporating information into a new product that has already been classified.
Step-by-step explanation:
When including information in a new product that has already been classified, the correct term is Data enhancement. This term implies adding extra information or improving existing data to make it more useful. It is not simply aggregating or normalizing data, but rather enhancing it with additional layers or insights.
For example, if a database of products only includes names and prices but does not provide descriptions or categories, data enhancement may involve adding this additional information to improve the database's utility. This contrasts with data aggregation, which refers to the collection of data from various sources and presenting it in a summarized format. Data normalization involves adjusting data to ensure consistency, while data synthesis might involve combining various data points to create new insights or hypotheses.