What does Data Enrichment involve?

Data enrichment involves enhancing existing data with additional relevant information, which allows organizations to gain deeper insights and improve decision-making. This process often entails integrating external data sources or filling in missing information to create a more comprehensive view of the data. For example, a business might enrich customer data by adding demographic information, purchase history, social media activity, or geographic location. This additional context can lead to better targeting in marketing, improved customer service, and more effective business strategies.

By enriching data, organizations can also identify trends, patterns, or anomalies that would not be visible in the original dataset, ultimately driving greater value from their data assets. The focus is on enhancing and refining the existing data rather than discarding it or merely managing its size or origin.