What Is Embedded Analytics?
Embedded analytics means placing dashboards inside another app, such as your own product or an internal tool, rather than a separate BI platform. Customers or staff see the data right where they already work. They never need to log into a different system.
Key Features to Look for in Embedded Analytics Tools
White-labelling matters most for customer-facing products. Dashboards should look like part of your product, not a bolted-on BI tool. Multi-tenancy support is a must for SaaS products, so each customer sees only their own data. API flexibility sets how deeply the analytics can tie into your app. Pricing models vary a lot. Check if cost scales with your customer base or stays fixed.
Power BI Embedded
Power BI Embedded lets developers build Power BI reports right into their own apps. It suits teams already using Power BI in-house who want to extend those same reports to customers. It also gains from Microsoft's wide set of connectors and tools.
Looker Embedded
Looker's embedded analytics run on its governed LookML model. This keeps embedded dashboards in step with any internal reports built on the same platform. It suits larger software firms that want one single source of truth across internal and customer-facing analytics.
Purpose-Built Embedded Platforms
Tools such as Sisense and Qlik also offer strong embedded analytics. They often give more flexible white-labelling than the bigger BI platforms. These are worth a look for products where the analytics must feel fully native to your own app.
How to Choose an Embedded Analytics Tool
Start with your end users, not the feature list. If dashboards face customers, put white-labelling and multi-tenancy first. If dashboards are for internal teams only, a standard BI tool with an embed feature may be simpler and cheaper than a dedicated embedded analytics platform.
For a broader look at how these dashboards get built, see our analytics dashboard guide. For a wider platform comparison, see our Power BI vs Tableau vs Looker guide. Gartner's research on embedded analytics is a useful independent reference.
Frequently Asked Questions
Is embedded analytics the same as a regular BI dashboard? No. Embedded analytics sits inside another product rather than running as its own standalone application, though the underlying data and charts work similarly.
Do I need a developer to add embedded analytics to my product? Usually yes. Most embedded analytics tools require some development work to integrate the dashboards into your existing application through an API or SDK.
Is embedded analytics expensive? Pricing varies widely by platform and by how many end users see the dashboards. Costs generally rise with the number of customers or users accessing embedded reports.
