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.  

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.  

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.  

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.

Predictive analytics in healthcare refers to the analysis of current and historical healthcare data that allows healthcare professionals to find opportunities to make more effective and more efficient operational and clinical decisions, predict trends, and even manage the spread of diseases.  

In this article, we are taking a closer look at two of the most popular embedded analytics solutions on the market – Reveal and Looker, to help you find the best tool for your needs.  

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.

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.