What is a Data Enrichment?

A raw lead record with just a name and email is far less actionable than one enriched with company size, industry, and job title pulled from a third-party data provider or public sources. The enrichment step doesn't change what the record fundamentally is - it adds context around it, turning a bare identifier into something a sales rep or an automated workflow can actually act on. Enrichment sources vary widely in reliability, so a mature pipeline tracks provenance - which field came from which source, and when - so that stale or conflicting enriched data can be traced and corrected rather than silently trusted forever. Real-time enrichment (looked up at the moment a record is used) is more accurate than batch enrichment run once and never refreshed, but it costs more per lookup. This is one of the clearest places where AI has changed the game: an LLM can synthesize enrichment from unstructured sources (a company's website, recent news) that a traditional API-based enrichment service can't touch.