What is data enrichment?

Definition

Data enrichment augments records with information that was not present in the original source. For customer and account data, enrichment can add company details, classifications, contact information, or signals that improve segmentation and decision-making.

Enriched data can improve artificial intelligence context, but its source, freshness, accuracy, and usage rights still need to be governed. More attributes are useful only when they are relevant and trustworthy for the task.

Acronyms and aliases

data enhancement synonym

Frequently asked questions

How is data enrichment used in customer systems?

It supplements customer or account records with additional attributes that can support targeting, prioritization, personalization, and analysis.

What are the risks of data enrichment?

The added information may be inaccurate, outdated, improperly licensed, or unnecessary, so teams should validate provenance, permissions, and relevance.

Videos explaining data enrichment