For SaaS companies, user growth should accelerate success, not burden your analytics infrastructure. Yet for many SaaS leaders, BI costs surge faster than customer acquisition, and legacy systems struggle to cope with growing data volumes and concurrent user demands. The result? Your analytics can’t keep pace with product momentum, turning scalable analytics into a distant […]

Most enterprise BI platforms were built for internal reporting, not for modern SaaS products utilizing customer-facing analytics. They sit outside your application, fragment your UX, and delay decision-making. Modern enterprise software requires analytics that are intuitive, embedded, and self-service by design. Reveal was built to deliver exactly that—with no iFrames, no handoffs, and no compromises.

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.

Learn how dashboard linking can provide seamless navigation between interconnected dashboards and enhance your data exploration.

Embedded analytics tools like Reveal help users create beautiful, high-effective dashboards with the right purpose, chart type, essential data, and effective interactions in half the time.  

Making Reveal accessible to all types of business users, regardless of their experience and expertise, has always been our priority. Here’s how we achieve that:

As more organizations begin offering analytical capabilities as part of their apps, embedding analytics into your Blazor applications is no longer optional.

Embedding analytics into your React applications brings relevant and timely insights right within your user’s workflow, promoting a data-driven culture and encouraging more analytical thinking.  

While both purpose-built embedded analytics SDKs and iframes allow for the integration of data analytics capabilities in an application, they come with some key differences. In this blog we discuss these two options to determine their pros and cons so that you can decide which is best for you and your end users. 

New app experiences and exciting new features give new opportunities to offer differentiating value to drive new revenue. When you improve user experience, increase customer satisfaction, escalate application usage, and provide your customers with the ability to make better, faster decisions based on data – you will also create additional revenue streams.