Explore 26 embedded analytics examples from real products across industries. Learn how teams use in-app dashboards to improve feature adoption, reduce churn, and deliver real-time insight where users already work. Whether you’re building for finance, healthcare, logistics, or SaaS, these examples show how embedded analytics turns data into action without adding dev overhead or forcing users into disconnected BI tools.

Building custom dashboards and reports doesn’t need to take days or in some cases even weeks to be done. Think about being able to build your own custom dashboards and reports in minutes to be able to extract actionable data insights as quickly as possible. With drag and drop analytics, anyone can go beyond premade dashboards and report templates with ease.

Tableau Embedded is often used to extend internal dashboards into external apps, but its architecture poses challenges for customer-facing products. iFrames limit UI control, pricing scales with usage, and customization is constrained. As expectations shift, many CTOs and SaaS leaders are prioritizing embed-first platforms with developer control, white label flexibility, and built-in AI for product environments.

The best way to deliver insights in your SaaS product is to embed them directly where users work. No switching tools. No report delays. Building analytics in-house burns time and dev resources. Reveal is purpose-built embedded analytics for SaaS platforms, with a true SDK, full white label control, and fixed pricing that scales. You get in-app self-service analytics without slowing down your roadmap.

We are taking a deeper look into the pros and cons of the Logi Analytics embedded analytics solution and introduce you to the #1 Logi Analytics alternative – Reveal.  

Power BI Embedded allows developers to integrate interactive dashboards and reports into their applications using Microsoft’s ecosystem. However, challenges like complex pricing, limited customization, and performance issues at scale often prompt teams to explore more flexible alternatives like Reveal.

We’ve gathered the most popular challenges and solutions for embedded analytics. Hopefully, that would make the implementation and adoption of an embedded analytics tool a no-brainer. 

Find out what are the pros and cons of the Sisense embedded analytics platform and how it matches Reveal’s self-service embedded analytics solution.  

Even though there are many technologies making embedding analytics into your applications easy, you still need to take the time to ensure you’re picking the best technology for your own unique business use case.

In the embedded analytics space, however, you’ll be hard-pressed to find clear, transparent, and publicly available pricing. Most embedded analytics vendors keep their pricing a secret and charge you unpredictable costs like usage and users.