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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.

Organizations that want to leverage the full potential of their data to make on-the-spot decisions, have to continually follow the latest trends and technologies in the BI and data analytics space in order to increase revenue, accelerate growth, and improve productivity. 

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.

Low-code/no-code development platforms are great at reducing the time needed for an application to be fully functioning and completed. Users with no coding experience can create BI applications with powerful data visualization and reporting capabilities, and developers can create apps from start to finish in a matter of minutes rather than weeks or months of traditional hand coding.  

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. 

Fully branded white label dashboards offer custom personalization so that your customers can present a holistic service that is all branded to one company.

A high-impact dashboard UI can be a daunting thing to design. Especially if you don’t know where to start. But following the dashboard design best practices that we list in this article makes the goal achievable.

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.

Guided analytics allows a company to set up, with the help of a developer, business applications featuring dashboards and charts that are updated based on user explorations and feedback. The end-user has no ability to create their own data visualizations, bring in one of their own data sources, or build dashboards and reports. Guided analytics BI operations are entirely owned by the IT team or dedicated business intelligence experts.