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In the embedded analytics space, however, you’ll be hard-pressed to find clear, transparent, and publicly available pricing. Most embedded analytics vendors keep their pricing a secret and charge you unpredictable costs like usage and users.

Analytical apps are designed as standalone applications or embedded analytics to simplify access and understanding of data for all users regardless of their expertise. They provide a logical and contextual view of the data that business employees work with.

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.  

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.

Modern analytics applications like embedded analytics solutions enable non-technical users to manage and work with data themselves by providing self-service and modern architecture capabilities. They deliver real-time reporting, interactive data visualizations, and advanced analytics capabilities including machine learning and AI directly into an enterprise business application. 

The multi-tenancy services reduce the complexity and customizations that are often required when embedding BI into your OEM software, ERP application, or other SaaS applications. Its capabilities allow you to easily maintain data isolation while supporting multiple tasks within the same account or organization at the same time.

The best embedded analytics solutions offer a lot more than just data visualizations. We gathered a list of 7 embedded analytics features you need to keep in mind when choosing your embedded analytics vendor.

It’s important that analytics and visualizations are embedded within the ERP software itselfitself, so users don’t have to export the data to a separate application. And if the analytics are easy for business users to use with self-service capabilities, then more people throughout a company can do deeper dives into a range of pertinent business data.

Having company insights at your fingertips is the most valuable advantage of mobile BI. You are not limited to one computer in one location, but instead, you can access important data information on your mobile device at any time and from any location.

Legacy apps limit product velocity and insight delivery. Embedded analytics in app modernization helps SaaS teams replace slow workflows with in-product decisions. This guide breaks down five practical steps to modernize architecture, improve user experience, and monetize analytics as a product feature. Reveal gives your team the SDKs, security, and white label control to embed fast, scale cleanly, and reduce backlog.