Building semantic models in Hex

Hex provides a playbook for building semantic models to create a governed and trustworthy metrics system, ensuring consistency in data interpretation across different stakeholders. The guide emphasizes the importance of a semantic model as a single source of truth, which aligns clean tables, metadata, and common business questions into one set of definitions. It highlights the necessity of using gold-standard, well-governed data from data warehouses as a foundation for building these models, underscoring that the model's reliability is contingent upon the quality of the underlying data. By curating specific business questions and pairing each with a verified SQL query, teams can establish a ground truth that prevents discrepancies in data interpretation. The process involves using Hex's semantic modeling agent to build and test the model against these verified queries, ensuring that every stakeholder receives the same accurate answer, thereby increasing trust in data-driven decisions. The playbook also advises maintaining the model over time, adapting it to new metrics and questions as the business evolves, and providing clear guidance on when to use the model for specific types of questions.

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