Spotonix for Analytics Engineers

You built the models.
Now make them accessible.

You wrote the dbt models, defined the metrics, documented the logic, and tested the transformations. But nobody outside the data team can find or use any of it. Spotonix makes your work discoverable, composable, and accessible to the entire organization — finally giving your engineering the audience it deserves.

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You built it right.
Nobody can find it.

Beautiful models nobody can find

You spent months building a clean, tested, well-documented dbt project. But business users don't know it exists. They still Slack the analyst who sits closest to them and ask for "a quick pull."

Metrics redefined by different teams

You defined "monthly active users" precisely in your semantic layer. Marketing has their own version. Finance has a third. Your canonical definition exists but nobody outside your team uses it.

Slack is the discovery mechanism

When someone needs data, they don't check the data catalog or the docs site. They post in #data-requests. Your carefully engineered models are bypassed by a Slack thread and a CSV attachment.

Define once. Discover everywhere. Compose automatically.

01

Connect Your Models

Point Spotonix at your dbt project, semantic layer, or warehouse schema. It reads your models, metrics, tests, and documentation — preserving every definition and relationship you built.

02

Make Them Findable

Your models become composable building blocks in a context graph. When someone asks a question, Spotonix discovers the relevant definitions from your work and composes the answer automatically.

03

Champion Internally

Business users finally experience the value of your engineering. They get consistent answers, traceable to your models, in seconds. Your work gets the adoption it deserves — and you get the credit.

Your models deserve an audience.
Give them one.

See how Spotonix makes your analytics engineering work discoverable, composable, and accessible to everyone.

Schedule a Demo Read the Whitepaper