Analytics where your users already are
If you run a product or a customer portal, your users increasingly expect to see their own data — usage, results, performance — right inside the thing they log into. Sending them to a separate BI tool, or emailing a spreadsheet, breaks the experience and makes your product feel less finished than it is.
Embedded analytics puts those charts inside your app, styled like the rest of it, showing each customer their own numbers. It turns 'here's a CSV' into a polished feature customers can use themselves.
- Charts and reports living inside your product, not a separate tool
- Styled to match your product so it feels native, not bolted on
- Each customer sees their own data, in context, on demand
- Turns raw data exports into a self-serve product feature
The hard part is multi-tenant data isolation
The defining challenge of embedded analytics isn't drawing charts — it's making absolutely sure Customer A can never see Customer B's numbers. In a multi-tenant product, one leak between accounts is a serious breach, so the data boundary has to be enforced on the server, every query, every time.
We build that isolation as the foundation, not an afterthought. Each request is scoped to the authenticated customer before any data is read, so a customer physically cannot query another's records.
- Strict per-tenant isolation enforced server-side on every query
- Data scoped to the authenticated customer before anything is read
- Optional white-labeling so the analytics carry your brand, not ours
- Per-user permissions within a customer's own account
- Performance that holds up as tenants and data volumes grow
Embedded vs. a standalone BI tool
A standalone BI tool is aimed at your internal analysts. Embedded analytics is aimed at your customers, inside your product — different audience, and a different bar for polish, security, and seamlessness. If the numbers are for your team, a BI tool may be enough; if they're a feature your customers use, embedding is usually the answer.
Done well, it can even become a differentiator or a paid tier of your product rather than just a nice-to-have.
- Standalone BI: for internal analysts crunching your own data
- Embedded: a customer-facing feature inside your product
- Embedded demands product-grade design and per-tenant security
- Can become a differentiator or even a paid tier of your product
More on internal tools & dashboards
Frequently asked questions
Can it match our product's look and feel?
Yes. Embedded analytics should feel like a native part of your app — your colors, typography, and layout — so users don't perceive a seam. White-labeling is a standard part of the work.
How do you guarantee one customer can't see another's data?
By enforcing tenant isolation on the server for every query, scoped to the authenticated user before any data is read — never relying on the interface to hide things. This boundary is the first thing we build and test.
Could embedded analytics be a paid feature for us?
Often, yes. Many products offer richer analytics as a higher tier. If that's a goal, we can design it so deeper insights map to plans you can charge for.