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.

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.

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.

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.  

Get the PDF Fill out the form to get a personalized demo of Reveal. A Treemap Chart is a data visualization that shows hierarchical data using nested nodes (rectangles) of varying sizes and colors, making it easy to spot data patterns or compare data quantities. While a Treemap is sometimes categorized as a “distribution” visualization, […]

The fastest way to monetize your data is by embedding white-labeled dashboards directly into your product. While the opportunity is clear, the execution isn’t always easy. Building in-house drains time, money, and dev resources, and choosing the wrong partner can lead to the same bottlenecks that stall monetization efforts.

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.  

Powered by two of the greatest analytics technologies, augmented analytics allows users to ask questions and automatically generate insights by exploring their data using conversational language.