White-label analytics means offering reports and dashboards to your customers under your own brand — your logo, your colours, your domain — while the analytics technology underneath comes from an established BI platform. Your customers see your product, not the vendor's. This guide covers what white-label analytics is, how it differs from embedded analytics, what a platform must include, and what it actually costs.

What is white-label analytics?

White-label analytics is customer-facing reporting that carries your brand instead of the BI vendor's. The dashboards, the portal they live in, even the exported files look like a native part of your product — there is no "powered by" badge, no third-party login screen, and no visual hint that a platform like Power BI is doing the work underneath.

The point is product coherence. When a SaaS company adds analytics, customers should experience it as a feature of the product they already pay for — not as a detour into someone else's tool. White-labelling is what makes bought analytics feel built.

What is the difference between white-label and embedded analytics?

Embedded analytics describes where the analytics lives: inside your application rather than in a separate BI tool. White-label describes whose brand it carries. The two usually go together — an embedded dashboard is normally white-labelled — but they are not the same thing. Analytics can be white-labelled without being embedded (a branded reporting portal on your own domain) and, in theory, embedded without being white-labelled (a vendor-branded iframe, which few SaaS companies actually want).

If embedded analytics as a concept is new to you, start with our guide What is embedded analytics? — it covers the architecture, features and tooling in depth.

Why do SaaS companies white-label their analytics?

SaaS companies white-label analytics because reporting sells better as part of their own product than as someone else's add-on. The concrete reasons:

  • Product value. A reporting module under your brand justifies a higher price point or a premium tier — customers are paying for your product, and analytics becomes part of what your product is.
  • Trust. Customers trust the numbers more when they come from the system that owns the data, presented in the same familiar interface.
  • Retention. Analytics customers actually use is one of the stickiest features a SaaS product can have — and stickiness accrues to your brand, not a vendor's.
  • Sales conversations. "Our product includes customer-facing reporting" is a stronger claim than "we integrate with a BI tool".

What should a white-label analytics platform include?

A genuine white-label analytics platform lets you remove every trace of the underlying vendor and replace it with your own brand. When evaluating options, check for:

  • Full visual theming — your logo, colours and typography on reports, portal chrome and login screens
  • Your own domain — a reporting portal at reports.yourproduct.com, not vendor.com/your-account
  • Authentication under your product — customers sign in with your product's credentials or SSO, never a Microsoft or vendor login
  • Multi-tenant data isolation — one report serves all customers, and no customer can ever see another's data (we cover the mechanics in multi-tenant data isolation)
  • Branded exports — PDFs and files your customers download carry your brand
  • No vendor branding anywhere — including error states, loading screens and email notifications

How does white-label analytics work with Power BI?

Power BI Embedded is built for white-labelling: in the "embed for your customers" model, reports render inside your application through an API, with no Microsoft branding, no Microsoft login and no Power BI licences for your users. Your backend authenticates with a service principal and requests short-lived embed tokens; your customers just see charts in your product. Microsoft's brand appears nowhere in the experience.

The same applies to a white-label portal: reports are served on your own domain, behind your own login, in your own colours. Which delivery fits which product — a portal or in-app embedding — is exactly the comparison we make in BI4SaaS Portal vs Embedded.

Power BI is not the only platform with white-label options — Metabase, Sisense and Qlik offer them on paid tiers too, and custom charting libraries are brandless by nature. We compare the realistic options in Power BI Embedded vs. Metabase vs. Looker Studio.

What does white-label analytics cost?

White-label analytics is priced the same way as embedded analytics generally: per-user, by capacity, by usage, or at a fixed price per report. Per-user pricing gets expensive as your customer base grows; capacity pricing (like Power BI Embedded's A-SKUs or Fabric) is more predictable but puts the engineering work on you. We break down all four models with real figures in Embedded analytics pricing: what it actually costs.

BI4SaaS uses the fixed per-report model: a white-label reporting portal starts at €499 per report per month, and in-app embedding starts at €699 per report per month — development included in both. The exact quote comes from clear parameters: how many reports, how many users, and which business metrics the reports cover. There is no separate development project to budget for.

Should you build or buy white-label analytics?

Building your own white-label analytics means solving data modelling, multi-tenant security, theming, embedding and ongoing maintenance yourself — a front-loaded effort that typically needs senior data engineering for months, then levels off but never disappears. Buying it as a service means a predictable monthly price and someone else on the hook for maintenance. The honest cost comparison, with the cases where building genuinely wins, is in SaaS analytics: build vs. buy.

White-label analytics in practice

In our own deployments, white-labelling is rarely the hard part — Power BI handles theming and brandless embedding well. The hard parts are everything around it: tenant isolation that holds under audit, embed tokens that never leak, reports that stay fast as customer counts grow, and a portal your customers can actually sign in to without ever knowing Power BI exists. That operational layer is what BI4SaaS productizes: we run the white-label portal or the embedded delivery under your brand, on a fixed monthly price per report, with development included — so analytics becomes a feature of your product rather than a project inside your company.