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The Signal Taxonomy skill provides a structured framework for normalizing data from multiple enrichment providers into a unified schema, ensuring consistency across sales and marketing operations. It enables Go-To-Market (GTM) teams to maintain high data quality by establishing canonical names for intent topics and enrichment attributes, managing versioning for schema changes, and ensuring compliance through detailed lineage tracking. This skill is essential for RevOps teams looking to integrate diverse data signals into their data warehouse or CRM while maintaining strict validation rules, human-readable documentation, and clear ownership of data attributes.
