Customer-facing analytics is a product decision as much as a report decision. Identity, tenancy, and operations matter more than the chart library.
Product teams that need secure analytics experiences embedded into applications.
Some products need a custom embedded integration. Others are better served by an off-the-shelf Power BI Embedded platform such as Entelexos, which is built to manage users and reports without a months-long custom build. We help you choose before anyone writes the integration.
These are directional outcomes. They describe the point of the work, not a guaranteed metric.
Specialist work at Carlo Solutions follows the same four steps as the rest of the practice.
We baseline architecture, governance gaps, and reporting friction against business priorities.
We design a target state with clear standards for reliability and ownership.
We deploy reusable frameworks and implementation patterns that shorten delivery.
We transfer capability through role-based coaching, governance routines, and operating playbooks.
Embedded Power BI fits when you need interactive reports, governed measures, and row-level security more than a pixel-perfect custom visualization. It is usually the faster path if analysts already build in Power BI and the product needs to display that content to customers or partners. A custom chart build fits when the experience is a small, highly specific UI and you do not want a report lifecycle inside the product.
Choose a custom UI when the interaction is not a report: a guided workflow, a tight in-app control, or a visual that Power BI cannot host cleanly. Many products use both. Certified metrics stay in a semantic model, and the app renders only the slices that need a native experience. The expensive mistake is rebuilding an entire reporting suite in custom code because embedding looked unfamiliar.
The blueprint covers who the user is in your app, how that identity maps into Power BI or the embedded platform, and how one customer is prevented from seeing another customer's data. Multi-tenant products need an explicit pattern for workspaces or capacities, app registration, and row-level security. We design that path before the front end is wired up.
Yes, within the limits of the embedding approach you choose. A packaged platform such as Entelexos is aimed at white-label and configurable experiences for external users. A custom embed can match your app chrome more tightly and takes more engineering. The blueprint says which parts of the experience are yours to brand and which parts stay in the Power BI frame.
Entelexos is an off-the-shelf Power BI Embedded product for managing users and reports, and it is part of the product family shown on this site. Consulting is separate. We will recommend Entelexos when a packaged embed is the shorter path, and we will recommend a custom integration when the product requirements do not fit a package. Buying consulting does not require buying the product.
It depends on identity, tenancy, and how ready the semantic model is. A packaged deployment can be much shorter than a custom build, which is why the first deliverable is a blueprint rather than a promise of a fixed number of weeks. If the data model is still changing every sprint, embedding it will not make the numbers stable.
Bring the user types who need analytics, whether they are internal or external, how tenants are separated today, and whether reports already exist in Power BI. A rough sense of capacity, app ownership, and the decision the embedded view must support is enough to tell a blueprint from a custom build.
Tell us which decisions are stuck, what Power BI or Fabric estate you already have, and who will own the result internally.