Data enrichment is refers to processes used to enhance, refine or otherwise improve raw data. This idea and other similar concepts contribute to making data a valuable asset for almost any modern business or enterprise. It also shows the common imperative of proactively using this data in various ways.

Includes enhancing the quality and richness of data, extracting and developing attributes, manually sourcing additional data and information from suppliers and manufacturer websites.

Another way that data enrichment can work is in extrapolating data. Through methodologies such as fuzzy logic, engineers can produce more from a given raw data set. This and other projects can be described as data enrichment activities.