An enrichment step enhances raw data by adding context, cleaning, or combining it with other sources. Used in data pipelines, it improves accuracy and usability before analysis. Analysts, marketers, and AI teams benefit most, gaining richer insights and better decisions from otherwise incomplete or messy information.
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