OWOX Data Marts lets analysts define the data rules once — and business users pick exactly the columns they need, directly in Google Sheets. No tickets. No waiting. No SQL.
Column picker UI available in 2 weeks. Start building your data marts library today.
See how a business user tweaks corporate reports in Google Sheets and gets fresh revenue data — without you lifting a finger. But under your full control.
This isn't an edge case. It's how most SMB analytics teams operate every single day.
You got the request. Again. Someone needs revenue by channel. Then margin by campaign. Then returns by SKU. You write the query, blend the data, export it, paste it into their sheet. And wait for the next question — which arrives before you've closed the last ticket.
They open the spreadsheet. They need one more number — revenue by channel, cost per campaign, units by region. They can't get it themselves. So they ask you. Then they wait. By the time the data arrives, the meeting has already happened — and there's a new request in your inbox.
Business users are stuck waiting. Data analysts are stuck doing work that adds no value. And the questions that actually matter — the ones that drive revenue and growth — stay unanswered longer than they should.
Connect your gold layer tables from BigQuery, Snowflake, or any supported warehouse. Define which marts can be blended and on which keys. That's your governed foundation — reusable, versioned, controlled entirely by you.
Business users open the OWOX extension in Google Sheets, browse available data marts, pick the columns they actually need, blend from related marts, set filters — and hit Run. No SQL. No documentation. No ticket.
Data lands in the spreadsheet instantly. Schedule automatic refreshes — daily, hourly, or on demand. The analyst steps out of the request loop permanently. Every new question gets answered through self-service, not a new ticket.
Pick columns, set filters, hit Run — and watch data land in the sheet. This is the actual extension UI.
Fully interactive. Column picker · Filter engine · Schedule & Run · Active queries — all inside Google Sheets.
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 |
| Google Sheets QUERY / IMPORTDATA | Pull data with spreadsheet formulas | Breaks on real data volumes, no live warehouse connection, manual refresh |
OWOX bridges the gap: warehouse-powered, analyst-governed, business-user-friendly.
You've built clean data models. You're tired of being the human SQL interface for every new question. OWOX lets you define the access layer once — columns, joins, filters — and step back permanently.
You live in spreadsheets. Your data is in a warehouse your team manages. The gap between those two things costs you days every week. OWOX closes it — no SQL required.
Your BI tool shows the slices someone already decided mattered. OWOX lets business users define their own slices — in the tool they already use every day. It's not a replacement for dashboards, it's the answer to every question that falls between them.
Start creating your data marts today. The column picker UI for business users ships in 2 weeks — so the foundation you build now goes live immediately on release day. No wasted setup time.
No. OWOX connects to your data warehouse directly — you own the data, you control the costs. No per-connector pricing, no row limits, no lock-in. Your warehouse bill is your warehouse bill.
BigQuery, Snowflake, Redshift, Databricks, and Athena. If your team already runs on any of these, you're ready to connect in minutes.
The analyst defines the data marts — which tables are exposed, which columns are available, and which joining keys are permitted. Business users can only access and blend data within those guardrails. You stay in control of what's trustworthy.
No data engineering required. If you can write SQL and you have access to a cloud warehouse, you can set up your first data mart in under 15 minutes. Business users need zero technical knowledge — just Google Sheets.
Start building your data marts today — the column picker for business users ships in 2 weeks.
No credit card required · Free plan available · Takes 15 minutes to connect