Google Sheets extension

The analyst sets the rules.

The product does the work.

1

⚙️ Data Analyst · one time

Create Data Marts & set join keys

Connect your gold layer data with SQL or tables from BigQuery, Snowflake, or another data warehouse. Define which data marts can be blended and on which keys. That’s your reusable foundation.

2

📊 Business User · self-service

Pick columns, set filters, run

Business users open the OWOX extension in Google Sheets, browse available data marts, pick the columns they actually need, adds columns from related data marts, set filters – and hit Run. No SQL. No ticket or Slack ping.

3

⏰ Automated · ongoing

Fresh data on schedule, forever

Data lands in the spreadsheet instantly. Schedule automatic refreshes – daily, weekly, hourly or on demand. The analyst steps out of the request loop permanently. Every new question gets answered by self-service, not a  ticket.

Join waitlist

This is what your business users will see.

Pick columns - hit Run — and watch data land in the sheet. Then add more columns - hit run again. This is the actual extension UI.

docs.google.com/spreadsheets/d/owox-data-marts

OWOX vs. Alternatives

Not another connector.

Not another BI Tool.
Not a black-box.

You’ve probably already tried to solve this. Here’s why it didn’t stick.

Tool

What it does

Why it falls short

OWOX Data Marts

Analyst-governed self-service for business users, directly in Google Sheets

✓ Warehouse-powered, blendable, governed, schedulable — no SQL required

Supermetrics / Coupler

Pulls raw data from ad and ecom sources into sheets

Raw numbers, no blending, no analyst governance — pay per connector, per row

Fivetran / Airbyte

Moves data into your warehouse

Data lands there and stays — you still need an analyst to get anything out

Manual SQL exports

Analyst writes queries on demand

You wait days for a column. Then wait again when the question changes

BI dashboards (Looker, Tableau)

Visualizes pre-modeled data

You get the charts someone else decided you needed — not the slice you want

What users are saying

Not testimonials. Comment threads.

From the founder and CMO who actually run on it. Each quote is a real thing they said – attached to a specific claim.

C3

re: trusting AI

Nodari Rizun

Founder & CEO, Pürblack®

“AI by its nature will hallucinate. You need guardrails so you can trust your data.”

A1

re: one source of truth

Mark Simmons

CMO, Pürblack®

“We had six or seven different channels and no single source of truth. It was almost impossible”

E7

re: getting time back

Nodari Rizun

Founder & CEO, Pürblack®

“We regained time. And time is the one resource that never comes back.”

FAQ

Frequently asked questions

We already have a BI tool. Why do we need this?

Is this another connector that charges per row?

What data warehouses do you support?

What if our analyst hasn’t set up data marts yet?

How does the analyst control what business users can see?

Does this require data engineering skills to set up?

Ask a data strategist

Google Sheets in modern analytics

Your data is ready.

Your analysts are ready. Your business users are waiting.

✓

Business teams keep the flexibility they love

✓

Data teams retain control over logic and definitions

✓

No more fragile joins duplicated across spreadsheets

Get started free

→