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Data enrichment is a general term that 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.
Although data enrichment can work in many different ways, many of the tools used for this goal involve a refinement of data that might include small errors. A common data enrichment process could, for example, correct likely misspellings or typographical errors in a database through the use of precision algorithms. Following this logic, data enrichment tools could also add information to simple data tables.
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.