Data enrichment is a method of preparing data so it is ready for analysis and exploitation. For most business users, data enrichment is best done with a data prep tool designed for them, not data scientists or engineers.
This tool should allow users to access data in various systems (e.g., on-premise, cloud, spreadsheets), identify the data sets needed, blend the data, and get the data into the right format for analysis. From there, users can enrich the data further, combining like pieces of data into common fields (data blending), or adding new calculations as a new field.
Data prep needs to be appropriate for most any business person who is required to do analysis today – which is pretty much everyone at this point. This allows users to get their answers much more quickly and independently without IT assistance.