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.

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.

Data warehousing supplies users with actionable insights and helps everyone within one organization make the right call on everything from marketing strategy and product development to human resources and budgeting.  

A sales analytics solution allows your sales rep to identify the characteristics of customers that spend the most money on your product/service and focus their time engaging with those high-quality leads that add value to your business.  

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.