Who should own the semantic layer?
Blog post from dbt
As organizations grow, their data complexity increases, necessitating a semantic layer to ensure consistent business metrics across tools, but ownership of this layer is crucial to avoid inconsistency and technical debt. Traditionally, data teams have managed semantic layers due to their expertise in complex technical tasks such as metric definition and system integration. However, there's a strong argument for business teams owning the definitions, as they possess deep knowledge of business metrics crucial for decision-making. A hybrid approach, where data teams handle the technical infrastructure and business teams manage metric definitions, might be most effective, leveraging both groups' strengths. The success of this model depends on the user experience of semantic layer tools, which should enable business users to define metrics without needing technical knowledge. Ownership decisions also vary based on organizational maturity and structure, with smaller organizations possibly allowing direct business ownership, while larger ones might require structured workflows. As semantic layers evolve, new ownership models may emerge, particularly with advancements like the integration of MetricFlow's capabilities into dbt's semantic layer. Ultimately, the best ownership model aligns with an organization's data strategy, ensuring consistent and reliable access to business metrics.
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