Enable business reporting from your Google BigQuery data
Turn your data warehouse into a real reporting library. Connected Data Marts, ready for Google Sheets.
Google BigQueryConnectedData MartPublishedone definition
Google SheetsDaily 09:00Start from your Google BigQuery data
Connect your BigQuery project and pick the dataset that holds the data your sheets need.
- Nothing to move or copy.
Google BigQueryYour data warehouseDatasetUnified Ad SpendConnected dataNothing to move or copy
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 model.
- Business users browse reports, not tables.
Data martsUnified Ad SpendAISessionsAI
Unified Ad SpendData modelplatform_roas · platform_cpa
Unified Ad Spend + SessionsSessionsJoined by a shared key
Send Google BigQuery data to Google Sheets
Push a report from the OWOX UI, or pull it with the Sheets extension. Header notes explain every column.
- Reports stay fresh, with no exports.
OWOXRun reportScheduled
ExtensionRefresh
Google SheetsNotes in headerscostInUsdclicksimpressionsKeep Google Sheets 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 chatGoogle SheetsExport to a sheetYour bossShare the answer
- 0.43.0Compare LinkedIn Ads results across markets: spend by country, region, and county
- 0.43.0The Sheet link of a Google Sheets source opens the imported tab, not the first one
- 0.43.0Parallel reads of a SQL Data Mart on Google BigQuery no longer fail with a rate limit error
- 0.43.0Connect a Google Sheets plan with one Google sign-in
- 0.41.0Rotating a warehouse key is one change: Storages share reusable Credentials
Why OWOX for Google BigQuery reporting
Spreadsheets stay the place where your team works, and the numbers come from BigQuery through a Data Mart instead of a pasted export.
- You own the data. It lives in your own BigQuery project, not inside an ad platform or a CRM.
- Your own columns survive. A refresh rewrites the imported range only; columns and formulas you added to the right of it stay.
- Every refresh says where it came from. The first column carries the Data Mart name, the latest refresh time and a link to the report that writes the range.
- Header notes explain each column. Each imported header carries the description from the output schema of the Data Mart.
You are booked. The invitation is on its way to , with the calendar invite and the meeting link.