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Embedded analytics has become a vital component of modern applications, providing users with real-time insights that drive smarter decisions. However, integrating these analytics seamlessly into your existing systems is often easier said than done.

Read on to discover more about data blending. We cover what sets it apart, why it’s indispensable for modern business, and how it differentiates from the traditional data joining method.   

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:

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.

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.  

Chartio is a cloud-based business intelligence and analytics solution that provides business teams with the tools and functionalities for data exploration and data visualization. It’s one of the most popular visualization tools on the market that helps decision-makers make refined graphs, reports, and dashboards, and take the best case decisions faster.   Or it used to be. You may […]

Data-driven insights can help you identify business opportunities, detect customer journey leaks, and proactively identify weaknesses in your product before they grow into serious problems.  

A Treemap Chart is designed for drill-down scenarios. It shows the relative weight of data points at more than one level allowing users to continuously drill down deeper into the data set that is represented by smaller rectangles for more efficient analysis.

In this blog, I’m going to show you how to create a population pyramid chart that provides an attractive at-a-glance view of the demographics of a country, typically broken down by male/female, though it can be used for other demographics as well.  Here’s what the final chart will look like:  Before diving into how you can create a population pyramid chart, let’s first review some of the basic chart types.  What […]