Data enrichment is an integral aspect of the extensive data hygiene process, which focuses on the persistent task of guaranteeing that data is precise, dependable, and up-to-date.
Enrichment specifically pertains to the incorporation of new and supplementary information into current datasets. Teams subsequently verify this information against third-party sources to enhance its overall value. In this discussion, you will learn the foundational aspects of data enrichment and its key advantages. We will also delve into best practices and enrichment tools that can help you unlock the potential of your data.
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What is data enrichment?
Data enrichment is the act of enhancing the accuracy and reliability of raw customer data. This is accomplished by teams who add new and supplementary information and verify it against third-party sources. Known as data appending, this process ensures that the data accurately and comprehensively reflects the audience. As sales professionals, we all understand the vital role that accurate data plays. It allows us to gain a clearer understanding of our customers’ needs and preferences, improve the overall customer experience, and personalize our sales tactics to effectively reach our leads.