Data Modeling

An Ontology Model Is the Skeleton Every Business Needs to Make AI Answers Trusted

A Data Mart is one bone: your logic defined once, as one of six types, carrying an output schema that says what each field means. Publishing is the gate, so nothing reaches a spreadsheet, a dashboard or an AI assistant until you publish it. A Data Model is the articulated set of those bones. Declare the join keys between marts once and the business moves across Ads, CRM and product data instead of queueing for you to write the join.

Metadata Autofill drafts each field’s alias and description from the schema and a sample of up to 30 real rows; you edit and save, so the words an AI answer is grounded in stay yours. Start from a mart you already have, or adapt a proven industry model. There is no new language to learn and no modeling project first.

Features

Data Modeling Features

Data Mart Management

F01

Data Mart Management

When every report carries its own copy of the logic, numbers drift between teams and tools. A Data Mart is that logic defined once by the analyst — SQL, Table, View, Pattern, Connector or Joinable — with an output schema that says what each field means.

  • Every report built on a mart shows the SQL behind its numbers, re-runnable in your own warehouse.
  • Nothing reaches a spreadsheet, a dashboard or an AI assistant until the analyst publishes the mart.
  • Start from a query, table, view or pattern you already have; the AI helper drafts field names and descriptions.
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Metadata Autofill

F02

Metadata Autofill

A business user or an AI assistant can only use a Data Mart it understands, and metadata typed by hand is the task every analyst defers. Metadata Autofill drafts it for the analyst to approve.

  • Every draft is written from the schema and a sample of up to 30 real rows, so it describes what the data actually contains.
  • Autofill drafts, the analyst edits and saves — the descriptions an AI answer is grounded in stay the analyst's.
  • One click fills aliases and descriptions for every field and the Data Mart's own title and description; field descriptions reach the spreadsheet's column picker and header-cell notes.
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Joinable Data Marts

F03

Joinable Data Marts

Blending Ads, CRM and product data usually waits on SQL or a months-long semantic layer project. Declare join keys between Data Marts once, and business users combine them on their own — no SQL, and no semantic-layer project first.

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