Embedded Analytics

Add analytics to your product without building a BI tool

Your customers expect dashboards inside the product. We build the multi-tenant data model, semantic layer and embedded front end so your engineers can stay on the core roadmap.

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Teams we have built data for
Snap FinanceEmbrokerCigna HKENT Credit UnionEnclave
The problem

Common problems we fix

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
Talk to an engineer
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 weeks

What 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
Next step

Find out what your data already knows

Spend 30 minutes with the engineer who would do the work. We’ll look at what you track, where it goes and how decisions get made, then tell you the first fix we would make. It’s yours to use whether or not you hire us.

Book a free discovery call