Description: Data enrichment is the process of enhancing existing data by adding new information from external sources. This process allows organizations to gain a more complete and accurate view of their data, facilitating informed decision-making. Enrichment can include the addition of demographic, geographic, behavioral, or market trend data, among others. By integrating additional information, companies can identify patterns, better segment their customers, and optimize their marketing strategies. Furthermore, data enrichment can help improve data quality by eliminating duplicates and correcting errors, resulting in a more robust and reliable database. In the context of various data processing and analysis technologies, data enrichment becomes an essential tool for maximizing the value of stored data and enabling deeper and more meaningful analyses.
