Connector

Build Data Studio dashboards from Google Sheets data

Load your Google Sheets budget plan into your data warehouse first, set it beside actual spend with SQL keys, then feed Data Studio dashboards from the same Data Mart.

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

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Hand this to your AI

The budget is in Google Sheets and spend is elsewhere, so Data Studio's plan-versus-actual chart is rebuilt by hand monthly.

Paste this into your AI assistant. It loads your Google Sheets budget plan into your data warehouse with OWOX Data Marts, sets it beside actual spend, and feeds Data Studio from that Data Mart.

The prompt

build a Data Studio dashboard of plan against actual: the budget from Google Sheets next to actual spend by month and channel, with the gap and the overruns highlighted

S00 · Why

Why Google Sheets does not go straight to Data Studio

A budget kept in a spreadsheet says what you meant to spend, and a dashboard pointed straight at it draws the plan and nothing else. It does not show the plan against actual spend, because the spend lives in the ad platforms. A dashboard is not built to join them reliably, at scale or business-ready, so the join happens in a data warehouse first.

  • A plan cell says what was meant to be spent, not what the ad platforms billed
  • The data analyst joins plan rows to actual spend by month and channel and controls the result
  • Dashboard viewers read plan against actual in one chart, not two tabs
Google SheetsBudget plan
Data Studio
No link to spend
Data warehouseJoined by id
Ad platformsActual spend
Web analyticsSessions

S01 · Step 1

Step 1: Load Google Sheets into your data warehouse first

Create a Data Mart with Google Sheets as the data source and choose where the data lands. It works with any popular data warehouse.

  • Any spreadsheet your team already maintains: targets, budgets, manual costs, mappings
  • Open the Google Sheets connector for your data warehouse below
Google Shee…Data Mart
Your data warehouseGoogle BigQueryAWS AthenaSnowflakeAWS RedshiftDatabricks
google_sheets.budget_plan

S03 · Step 3

Step 3: Feed Data Studio dashboards with Google Sheets data

Add Data Studio as a destination of the Google Sheets Data Mart and build the dashboard on it. Month, channel, campaign and planned_budget sit in your data warehouse next to the actual spend.

  • A plan-against-spend chart reads one Data Mart, not two separate files
  • Turn on Available in Data Studio for the published Google Sheets Data Mart, then add the OWOX connector in Data Studio
Data StudioBudget plan
Google SheetsSame Data Mart
ClaudeSame Data Mart

S04 · Step 4

Step 4: Use the same Google Sheets Data Mart in a sheet or an assistant

The budget Data Mart is not locked to one dashboard. Planners keep editing the spreadsheet they like, and the same plan reaches an AI assistant with the same definitions.

  • Finance keeps maintaining the plan in the spreadsheet; the next load picks the change up
  • An assistant reads the same Data Mart, so the plan matches the dashboard
Budget planOne source
Data StudioDashboard
Google SheetsSame Data Mart
ClaudeSame Data Mart

S05 · Step 5

Step 5: Reuse Google Sheets inside OWOX MCP

The same Data Mart works in OWOX MCP, your AI assistant for data. Request any report, chat with your data, then get the report in Google Sheets or Excel in one click.

  • Ask which channels are furthest over plan this month, then export the answer
  • The plan is defined once and every report reads it
OWOX MCPShow planned_budget by month and channelmonth
Google SheetsOpen
ExcelOpen

Recent updates

Why OWOX

Why OWOX for Google Sheets in Data Studio

A budget in a spreadsheet stays a list of intentions. OWOX loads it into your data warehouse beside actual spend, so Data Studio shows how the year is tracking.

  • You own the data. It lands in your own data warehouse, in tables you control.
  • Plan and spend in one table. The budget rows meet the ad platforms' spend by month and channel in SQL, so a dashboard shows the gap without a manual copy.
  • Planners keep their spreadsheet. The plan stays where the team edits it, and each load brings the changes into the Data Mart.
  • Maintained for you. No scripts to maintain: the connector loads the sheet on each run.

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