Trusted, proven, recognized

The analytics system teams actually use

170K+
Users trust OWOX[1]
Analysts, marketers, and data teams across 20+ industries
4.9★
Rating on G2[2]
“A trusted data analytics partner” — verified review
370K+
Data marts delivered
Created and served by OWOX to business users
132K+
npm installs[3]
Self-managed OWOX Edition from GitHub
[1] Google Workspace Marketplace[2] G2.com reviews[3] OWOX GitHub
Connect

Step 1: Connect Your Google BigQuery Data Storage

Start by using Google BigQuery as the single foundation for business reporting.

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All reporting data lives inside your BigQuery project
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No direct source-to-spreadsheet connectors that fragment logic
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Business logic stays centralized, queryable, and reusable
Connect BigQuery
Step 1: Connect Your Google BigQuery Data Storage
Step 1: Connect Your Google BigQuery Data Storage
Step 2: Create a Data Mart in Google BigQuery
Create

Step 2: Create a Data Mart in Google BigQuery

Create reporting-ready data marts directly on top of Google BigQuery.

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Define data marts using SQL queries
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Reuse existing BigQuery tables or views
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Include connector-based datasets already stored in BigQuery
Create Data Mart
Step 2: Create a Data Mart in Google BigQuery
Select

Step 3: Prepare Business-Friendly Data for Google Sheets

Make your BigQuery data marts easy for business users to work with.

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Rename fields using business-friendly aliases
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Add clear descriptions to explain metrics and dimensions
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Business logic stays centralized, queryable, and reusable
Tweak Output Schema
Step 3: Prepare Business-Friendly Data for Google Sheets
Step 3: Prepare Business-Friendly Data for Google Sheets
Step 4: Send & Schedule BigQuery Data to Google Sheets
Enable

Step 4: Send & Schedule BigQuery Data to Google Sheets

Deliver Gold-layer, business-ready data from BigQuery directly into Google Sheets.

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Keep Sheets connected to governed BigQuery data marts
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Schedule automatic refreshes with full orchestration
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Share spreadsheets with stakeholders without duplicating logic
Send to Google Sheets
Step 4: Send & Schedule BigQuery Data to Google Sheets
Extend

Step 5: Reuse BigQuery Data Beyond Sheets

Your BigQuery data marts are not limited to spreadsheets.

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Enable AI Insights generated from BigQuery data marts
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Deliver insights to Email first (and add Slack, Microsoft Teams, or Google Chat if your team uses them)
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Reuse the same data marts in Looker Studio dashboards
Reuse Data Marts
Step 5: Reuse BigQuery Data Beyond Sheets
Step 5: Reuse BigQuery Data Beyond Sheets
Social proof

Every claim has a receipt.

Every number below comes straight from our customers — on camera. Click any card to watch them say it.

5 min
From raw data to a decision you can trust — what used to take months.
B2
cell "users on platform"
Nodari Rizun
Founder & CEO, Pürblack®
3d ago

For 10 years, we couldn't get a source of truth. Now we make very high-quality decisions quickly. Literally in five minutes.

Watch the full story on youtube
Hours → minutes
Five or six reports across Shopify, GA and Klaviyo — now one prompt.
C4
cell "time to first report"
Mark Simmons
CMO, Pürblack®
1W ago

Something that used to take a couple of hours – pulling five or six reports from Shopify, Google Analytics, Klaviyo – I now do in minutes, and I know it's the correct answer.

Watch the full story on youtube
Self-service analytics

Build a Reporting System on Top of Google BigQuery

Google Sheets were never designed to be a system of record. With OWOX Data Marts, Sheets becomes a trusted analysis layer — powered by governed data marts defined upstream in your warehouse.

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Business teams keep the flexibility they love
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Data teams retain control over logic and definitions
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No more fragile joins duplicated across spreadsheets
See how it works
→