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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.  

Today we are excited to deliver 15 new features & product enhancements to the Reveal visualization editor, API, data sources, and docs.

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. 

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, […]

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.

Get an idea of what our plans look like, feature-wise, for 2023. Everything we add is based on customer feedback and demand. While we may add items that we believe make us competitive in the market or features that are based on the general market direction or analyst feedback, we are constantly adjusting and adapting to what you need to deliver successful software.

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.