As the name suggests, data enrichment services means enriching data through refinement, improvement, and enhancement. For example, the information in your raw data may consist of minimal details such as the names of your target audience. To make this data richer, information like demographics and geographics should be added to the existing database. Furthermore, income levels as well as addresses can be weaved in to enhance the quality of the data. This enriched, complete and comprehensive data serves as a better pipeline to reach out to all your customers and prospects. In other words, data enrichment adds value by helping you analyse huge amount of information and extracting insights to boost your productivity.
It is also necessary to differentiate data enrichment from data cleansing. Very often, the two are confused to be the same. Data cleansing is checking data for errors and correcting them for accuracy whereas enrichment is adding more relevant facts to the cleansed information for better results.