Power BI Embedded
Ship embedded analytics customers actually notice.
Power BI Embedded lets you put dashboards, reports and paginated outputs directly inside your SaaS product or client portal, under your brand, with row level security scoped to each tenant. We help UK product teams design the model, size the capacity and go live without over-spending.
Building embedded analytics from scratch — charts, filtering, exports, refresh, RBAC — is a large piece of engineering that never quite ends. Power BI Embedded lets you skip that and ship analytics that already handle the boring parts: paginated exports, refresh scheduling, complex slicers, mobile layout, accessibility.
The trade-off is that Power BI Embedded is opinionated. Capacity sizing, tenant isolation, licensing choice and refresh strategy need to be right, or your bill grows and your customers see throttling. That is where we come in.
Typical use cases
- • Analytics inside a SaaS product
- • Branded client portals and extranets
- • White-label reporting for agencies
- • Regulator or auditor read-only views
- • Internal apps needing embedded charts
- • Migrating away from a legacy embed
What we handle
The parts of embedded analytics that quietly go wrong.
Multi-tenant modelling
One dataset per tenant, one dataset for all tenants, or a hybrid. Each has consequences for cost, refresh, and cross-tenant reporting. We help you pick the one you can live with in three years.
Capacity sizing
A-SKU vs F-SKU vs Fabric capacities. Autoscale. Peak vs steady load. We size to real traffic patterns, not the sales-team spreadsheet.
Row level security
Secure embed tokens, RLS roles bound to tenant identifiers, per-user filters. The bit that gets a call from the regulator if it is wrong.
Branding and UX
Theme files, custom visuals, hidden chrome, embedded filters. The report should look like your product, not a Microsoft demo.
Licensing strategy
Power BI Embedded pricing gets expensive fast if you buy the wrong SKU. We do the sums, model the growth, and only recommend the capacity you actually need.
Handover to your team
Your engineers usually own the embed after go-live. We document everything and stay on call for a defined period so nothing is left dangling.
Delivery approach
A short discovery, then a working proof.
Most Power BI Embedded projects start with a one-week discovery — architecture, tenant model, licensing options, an honest capacity forecast. From there, a four to eight week build gets a working embed into your product with one or two customer tenants live. Everything else grows from that base.
Discovery
Architecture review, tenant model, licensing options, capacity forecast. One week, fixed price.
Foundation
Workspaces, service principal, embed tokens, first dataset and semantic model. RLS roles wired to your tenant identifiers.
Embedded build
Reports iterated with your product team, embedded in the app, tested against real tenant data, and hardened for production.
Go live and handover
Rollout to real customers, monitoring in place, capacity autoscale tuned, and a short handover to your engineering team.
Get started
Thinking about embedded analytics? Let's pressure-test it.
Send a short brief and we will come back with an honest view: the right SKU for your load, the tenant model that fits your data, and a rough cost envelope before anyone signs anything.