Clean, governed event data starts at the schema
Ordaze gives data and analytics teams a single source of truth for event schemas, schema validation before data hits the warehouse, and full coverage visibility across every platform.
Schema Governance
Enforce property types, required fields, and valid enum values at the schema level, before events ever fire.
Schema Validation
The scanner checks that every tracked event matches its schema. Catch type mismatches and missing required properties.
Coverage Monitoring
Get a live view of which events are implemented on each platform. Know your coverage percentage at a glance.
Version History
Track every schema change over time. Know when a property was added, renamed, or removed, and by whom.
Bad data quality can't be fixed in the warehouse
Data transformation and cleanup in dbt or Spark can only do so much. When event names drift across platforms, property types are inconsistent, and required fields go missing, no downstream pipeline can fully compensate.
The only reliable fix is governance at the source, enforcing schemas before events are implemented, not after they reach your data warehouse.
One schema your whole org works from
With Ordaze, every event has a canonical schema: exact property names, types, enum values, and required/optional status. This schema is the authoritative contract between your analytics spec and your implementation.
Engineers generate typed code from it. The scanner validates against it. And you can trust that what's in your warehouse matches what was defined.
Explore the Tracking PlanKnow your coverage across every platform
The Ordaze scanner gives you a complete map of which events are implemented on iOS, Android, web, and backend so you know exactly where gaps exist before you start querying your warehouse.
When a data analyst asks “why is this event missing from iOS users?”, you'll have the answer before they finish the sentence.
Learn about the Scanner