What is data enrichment?
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Data enrichment is a process of enhancing and improving data by adding additional information to bring the data into a more structured or informed form. The purpose of data enrichment is to give users more insight into their data, allowing them to make better decisions and perform better analysis. Examples of data enrichment can include mapping geolocation data, demographic information, customer histories, or other external sources to existing data.