Data Enrichment

Data enrichment is the process of incorporating additional data into a database or dataset in order to improve its quality or utility. The data used for enrichment can come from internal sources, such as company records, or external sources, such as public databases.

Enrichment can be used to fill in missing data points, add new fields of information, or simply provide more accurate and up-to-date information. The goal of enrichment is to make the dataset more useful for analytics or decision-making purposes.

There are many different techniques that can be used for data enrichment, including manual entry, automatic extraction from other sources, and crowdsourcing. The most appropriate method will depend on the nature of the data and the resources available.