Connector

Enable business reporting from your Google BigQuery data

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

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

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Hand this to your AI

The weekly report email is a Google BigQuery query someone runs by hand, and it goes out late whenever they're away.

Paste this into your AI assistant. It turns your Google BigQuery tables into connected Data Marts with OWOX Data Marts and emails a report from them on a schedule, explained in plain words.

The prompt

email a weekly report from my Data Marts on Google BigQuery to my team every Monday: the main measures with the change on last week and a short explanation

S01 · Step 1

Start from your Google BigQuery data

Connect your BigQuery project and pick the dataset that holds the data your emailed reports draw on.

  • 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

Email Google BigQuery reports on a schedule

Schedule a Data Mart's report as an email, with a short analysis written under the numbers.

  • The team sees the numbers where it already works.
EmailScheduledWeekly paid media reportcostInUsdclicksimpressionsAnalysisPaid media for the week, one row per ad platform.Look at platform_cpa first to see where acquisition costs more.platform_roas tells you whether that spend is paying back.

S04 · Step 4

Keep Email 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

Not everyone opens a dashboard, but everyone reads email, so the report goes to their inbox on a schedule.

  • You own the data. It lives in your own BigQuery project, not inside an ad platform or a CRM.
  • SQL first, AI second. Every insight starts with a number calculated in SQL on BigQuery, and the analysis is written around it.
  • No login to read it. Recipients get the numbers and the analysis in the message, without opening BigQuery or a BI tool.
  • On your schedule. Send daily, weekly or on a condition to any inbox.

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