Semantic layer & auto-mapping

What metadata and metrics definitions should be included?

What metadata and metrics definitions should be included?

What metadata and metrics definitions should be included?

A semantic layer should define entities (e.g., Customer, Order), dimensions (e.g., Region, Category) and measures (e.g., Revenue, Count).

Each metric definition includes formulae, aggregation rules and filters.

Include descriptions, data types, units and relationships.

It’s helpful to distinguish between raw measures (sum of sales) and derived measures (month‑over‑month growth).

Document any assumptions and default date ranges.

Clear metadata ensures that tools and users interpret metrics consistently.

MageMetrics auto‑detects basic dimensions and measures and allows teams to author custom definitions using YAML or a UI, which are stored in version control.

Hey 👋 I’m Jonas, co-founder at MageMetrics

Let me know if you have any questions.

Contact me

Hey 👋 I’m Jonas, co-founder at MageMetrics

Let me know if you have any questions.

Contact me

Hey 👋 I’m Jonas, co-founder at MageMetrics

Let me know if you have any questions.

Contact me

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© 2025 MageMetrics SA. All rights reserved.

BUILD BETTER PRODUCTS

Customer-facing analytics for teams that ship

Easy to deploy

Easy to customize

Easy to love

© 2025 MageMetrics SA. All rights reserved.

BUILD BETTER PRODUCTS

Customer-facing analytics for teams that ship

Easy to deploy

Easy to customize

Easy to love

© 2025 MageMetrics SA. All rights reserved.