Product usage, orders, marketing attribution, inventory, support tickets, returns — all in different tools. OWOX joins them in one governed library. Your product team self-serves cross-system reports in Google Sheets. No analyst queue. No CSV stitching.
"Which categories drive repeat purchases?" requires joining orders, marketing attribution, and customer behavior from three systems. Your analyst spends a week. By the time the answer arrives, the promotion is over.
Product decisions improve when you can join every system’s data in seconds instead of waiting weeks.
Get started free →Your data team joins product data from every system in the warehouse and publishes it as a governed library. Every metric gets one definition, one owner.
The OWOX sidebar puts your product Data Mart library inside Google Sheets. Browse, join, pick columns, refresh daily. Cross-system analytics without SQL.
Insights turn your product Data Marts into recurring narratives delivered on schedule. AI writes the summary. Every metric is deterministic SQL.
Send this to your data team. They’ll join orders, customers, marketing, and inventory. Your product team self-serves in Sheets this week.
Your data team joins the data. Your product team self-serves. AI delivers product intelligence. Category reviews start with answers.
Orders, customers, marketing, and inventory joined and published as governed Data Marts. One definition per metric.
Category managers open Sheets, browse the library, pick columns, filter by product line, refresh daily.
Product narrative — top categories, cohort trends, inventory alerts — to Slack every Monday. Deterministic.
When every system’s data lives in one governed library, the product function transforms.
"Which categories drive repeat purchases from paid acquisition?" — a question that used to take a week now takes 30 seconds. The join is pre-built.
Marketing attribution joined with product performance. When product says "underperforming," marketing sees which campaigns targeted it.
When the product team self-serves cross-system data, your analyst works on demand forecasting, assortment optimization, and segmentation.
Product teams that joined every system’s data in one library
Send this to your data team. They’ll join orders, customers, marketing, and inventory. Your product team self-serves in Sheets.
See how your product data flows from Shopify, GA4, and your ERP to governed Data Marts to Sheets — with your actual catalog in mind.
