Google Sheets Extension

Admit it. You still write SQL for All your colleagues

There's no way to get all the requirements upfront. You know that. But there IS a way to stop being the person they ping every time they need one more column in existing report – without giving up an inch of control.

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80% less reporting backlog. 20x lower cost per request. Within the first month.

This is a brand new Google Sheets extension for OWOX Data Marts. It acts as a bridge between your queries to corporate data, data marts, and a business user UI in spreadsheets. The business user picks a data mart from the list, a clean gold layer asset, such as orders, products, revenue or inventory that answers a specific business question, prebuilt by a data team. They choose exactly the columns they need. And not only from selected data mart, but also from the ones explicitly joined by a data analyst. So they never ask a data analyst to add one more column to existing report. Then just hit run and the data lands right in the sheet. So when they need to just one more column, they go back, check it, hit run. Done. No ticket, no slack message, no waiting two days, just one more column. Set it to refresh automatically, every morning, every hour, or on demand. They can even filter down to what matters most, a specific channel, date range, whatever they need. Always up to date. No CSV exports, no manual work, and no please add one more column ever again. OWOX Data Marts. A window for business users into corporate data, fully controlled by a data team, right inside the most familiar BI tool ever, Google Sheets.

Watch: add one more column in 90 seconds

A business user opens Google Sheets, picks their columns, hits Run. Warehouse data lands instantly. Then they add one more column — and hit Run again. You're not involved. Your logic is.

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The Problem

⚙️ Data Analyst

You're the fastest path to a spreadsheet.

Revenue by channel. Then margin by SKU. Then returns by campaign — but only for Q4. Each request is small. Together they consume your entire week. You're not doing analytics. You're doing data retrieval for people who need a self-serve option.

📊 Business User

They don't want to bother you. They have no choice.

They open the spreadsheet. They need one more column. They can't get it themselves. So they Slack you. You respond in 2 hours. By then the context has shifted and there's already a new request. This loop is costing both of you — every single day.

🔄

This isn't a prioritization problem. It's a tooling gap.

Your colleagues can't access warehouse data without you. Until that changes, the requests don't stop — no matter how good your backlog management is. OWOX closes that gap.

HOW IT WORKS

⚙️ Data Analyst · one time

Define your data marts

Connect your gold layer from BigQuery, Snowflake, Redshift, or Databricks. Write the SQL or point to existing views. Set which columns are exposed, which joins are allowed, what filters are available. Done once. Reused forever.

📊 Business User · self-service

They pick columns and hit Run

Business users open the OWOX extension in Google Sheets. They browse the marts you've published, pick the columns they need — including that one more column — set their own filters, and hit Run. No SQL. No ticket. No you.

⏰ Automated · ongoing

Data refreshes on demand. You stay out of the loop.

Data lands in their sheet in seconds. They can refresh on demand or schedule automatic updates. The next time they need a new column? They add it themselves and hit Run again.

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OWOX vs. Alternatives

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

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Who it's for

⚙️

Data Analyst

You set the rules. Once.

You've already built clean data models. You know the logic. OWOX lets you expose a governed access layer — columns, joins, filters — and then step back permanently. Every new “add one more column” request gets answered by the product, not by you.

Connect gold layer tables from any supported warehouse
Define join keys and expose governed, blendable data marts
Control exactly what data is accessible and how it can be joined
Step out of the request loop — without losing oversight

📊

Head of Marketing / Sales / Revenue / CEO

They get the column. Themselves.

They live in spreadsheets. Their data is in your warehouse. OWOX closes that gap — no SQL required. They pick what they need, refresh when they want, and stop waiting on you.

Browse available data marts and pick exactly the columns needed
Add one more column anytime — no new request, no waiting
Get fresh data delivered into the spreadsheet instantly
Schedule automatic updates – no analyst involvement required

We've added 127 slack insights to our spreadsheet reports. The CMO is so happy with that Monday morning digest .

Head of Data,
SaaS Company

We manage 46 Data Marts from a single place now. Run history alone saved us hours of figuring our whether report was updated or not.

Head of Analytics,
Retail

We connect AWS Athena to Looker Studio for live dashboards. This is the only available connector that just works.

BI Lead,
E-commerce

Admit it. You still write SQL for All your colleagues

The “add one more column” cycle never ends.

You're the fastest path to a spreadsheet.

They don't want to bother you. They have no choice.

This isn't a prioritization problem. It's a tooling gap.