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Self-service BI empowers users to explore and act on data without relying on technical teams or submitting support tickets. It gives business users the tools they need to generate insights, build reports, and make decisions in real time, on their own.

For SaaS products and internal platforms, embedding self-service BI directly into your application extends that value by delivering a seamless and native analytics experience that is fast, scalable, and fully customizable.

Choosing the wrong embedded analytics platform slows your roadmap, increases dev burden, and weakens the product experience. Many tools check feature boxes but fail on pricing models, embedding control, integration fit, and long-term scale.

Embedded analytics has become a critical requirement for modern SaaS products. Whether you’re building an application from the ground up or adding dashboards into an existing application, the ability to seamlessly integrate analytics into your UX—without compromising speed, scale, or flexibility—can significantly impact user experience and development velocity.

You asked and Reveal delivered! By popular demand Reveal 1.7.4 is officially live and now includes native support for Databricks. Why is this a game-changer?

Reveal Version 1.7.3 is live, bringing powerful new enhancements that put more control in the hands of developers and product teams.

When starting a new project, deciding which Angular dashboard library to use is crucial for the project’s success. A well-chosen library can streamline your development process and enhance your application’s analytics capabilities.

Reveal Version 1.7.2 is Live! 
What This Means for You: Gain full control with powerful customization tools and seamless data interaction to build tailored, intuitive analytics experiences. 

Find out how to integrate embedded analytics into Angular applications with a .NET Core backend, for better decision-making capabilities that drive engagement and ROI.

In this guide, we’ll cover the key 2025 requirements for selecting an embedded analytics platform, how it benefits product analytics, and the current available implementation methods.

By embedding product analytics into your product strategy, you’ll have the data you need to not only optimize performance, but also ensure long-term success. Find out more in our guide below.