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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.  

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. 

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.

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.  

The real value of embedded analytics is how it strengthens products and business outcomes. It shortens development cycles, cuts costs, and keeps analytics inside the workflow where users need it. The biggest payoffs are higher adoption, predictable ROI, and new revenue through monetization. With SDK-first integration, white-label control, and AI-powered insights, embedded analytics delivers scale, flexibility, and a lasting competitive advantage.