Connector

Enable business reporting from your Google BigQuery data

Turn your data warehouse into a real reporting library. Connected Data Marts, ready for Claude.

Google BigQueryConnected
Data MartPublishedone definition
ClaudeDaily 09:00
Refreshed on a schedule. No exports, no copy-paste.

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Hand this to your AI

You need last week's summary for leadership from Google BigQuery, and you can't tell which AI-written figures to trust.

Paste this into your AI assistant. It turns your Google BigQuery tables into connected Data Marts with OWOX Data Marts and connects Claude through the OWOX MCP server, so every figure traces to its SQL.

The prompt

write last week's performance summary in Claude from my Data Marts on Google BigQuery, naming the Data Mart behind each figure and the numbers to double-check before I share it

S01 · Step 1

Start from your Google BigQuery data

Connect your BigQuery project and pick the dataset that holds the data Claude should see.

  • Nothing to move or copy.
Google BigQueryYour data warehouseDataset
Unified Ad SpendConnected dataNothing to move or copy

S02 · Step 2

Build a reporting library in Google BigQuery

Each Data Mart is a ready report, described by AI, and joins to other Data Marts through the data model.

  • Business users browse reports, not tables.
Data martsUnified Ad SpendAISessionsAI
Unified Ad SpendData modelplatform_roas · platform_cpa
Unified Ad Spend + Sessions
SessionsJoined by a shared key

S03 · Step 3

Ask Claude about your Google BigQuery data

Connect OWOX Data Marts in Claude's Connectors and ask. Claude calls get_relevant_data_marts_by_prompt and query_data_mart.

  • Business questions answered from trusted data.
ClaudeWhich ad platform had the highest CPA last week?get_relevant_data_marts_by_promptquery_data_martplatform_roasplatform_cpa

S04 · Step 4

Keep Claude connected to the same data

Ask in Claude, export to a sheet, share with the boss.

  • One source, every tool.
Unified Ad SpendOne source
ClaudeAsk in chat
Google SheetsExport to a sheet
Your bossShare the answer

Recent updates

Why OWOX

Why OWOX for Google BigQuery reporting

Claude answers from Data Marts your analysts wrote, not from a guess, and every figure traces back to the SQL behind it.

  • You own the data. It lives in your own BigQuery project, not inside an ad platform or a CRM.
  • Analyst-written SQL. Every query Claude runs is a Data Mart your analysts defined, not an invented join.
  • Only what you expose. Claude reaches the published Data Marts your project role allows, with no raw access to BigQuery.
  • A record of every query. Every query Claude runs is recorded in Run History with the SQL it executed.

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