Embedded Analytics
We help you ship dashboards customers will pay for.
Customers expect analytics inside the product, and every sprint your engineers spend on charts comes out of the roadmap. We build the multi-tenant data model, semantic layer and embedded front end, and ship it through your own pipeline. Your team stays on the core product.
Book a free discovery callFree 30 minute call with the engineer who would do the work. You keep the first fix whether or not you hire us.
Teams we have built data for
Royal CaninCigna HKEukanubaCircle LineGinmoniQuantiGrippiEnclave
The problem
01
It is harder than it looks
Attribution, benchmarks and drill-downs get complicated once you have thousands of tenants.
02
The tools are new to your team
Cube, Embeddable and row-level security are powerful and easy to set up wrong the first time.
03
The core roadmap slows down
Every sprint spent on charting code is a sprint taken from the product customers pay for.
An analytics feature customers will pay for
Secure, fast and multi-tenant
We build tenant isolation into the data model, pre-aggregate for speed and add deployment to your CI/CD pipeline. The feature ships and updates like the rest of your product.
What you get
- Tenant isolation from warehouse to UI
- Dashboards that load in under a second
- Components styled to your design system
- Deploys through your existing pipeline
- A feature that can support a premium tier
What we deliver
What the engagement includes
Each engagement has a fixed list of deliverables, agreed before work starts.
Multi-tenant architecture
dbt and Dagster pipelines that build shared or per-tenant models safely.
Conformed data layer
Metrics that mean the same thing for every customer.
Semantic API
A Cube semantic layer with row-level security, caching and pre-aggregations.
Embedded UI
Dashboards and charts that match your product, built with Embeddable or your own front end.
Predictive features
Optional forecasts, scores and anomaly alerts shown inside the app.
Our method
How the work runs
01
Multi-tenant design
Isolation and scale from day one.
02
Performance tuning
Caching and pre-aggregation.
03
CI/CD integration
Ships with your product.
Tools we work with
CubeEmbeddabledbtDagsterBigQuerySnowflakePostgres
Is this for you?
This works best if
- You run a B2B SaaS product with customer data worth showing
- Customers regularly ask for reports or exports
- You want in-product analytics without hiring a BI team
Should we use Embeddable or our own front end?
Either works. We recommend one during scoping based on how much design control you need and how soon you want to launch.
How we work
How an engagement starts
The work runs in three steps. You see working output within weeks and can stop after any stage.
01
Discovery call
A 30 minute call with the engineer who would do the work. We look at your setup, tell you what we would fix first, and whether you need us for it.
Day 1 02
Blueprint sprint
We map your sources, stakeholders and goals, then give you an architecture and a prioritised roadmap. You keep it whether or not we do the build.
2 to 4 weeks 03
Build in sprints
We ship working tracking, models, dashboards and agents every two weeks. You can stop after any sprint, and everything built stays yours.
Every 2 weeksWhat happens on the call
Book your call- 30 minutes with the engineer who would do the work
- No slides or sales pitch
- A clear answer on whether we can help, and a referral if we can’t
- The first fix we would make, which you can use either way
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