Integrating analytics capabilities into third-party applications is where you begin to see a boost in productivity and performance. Users don’t need to waste time hopping between multiple tools and systems. Instead, they can log in, access, and engage with data visualizations and dashboards directly within their natural workflow and the apps that they use on a daily basis. 

We are taking a deeper look into the pros and cons of the Logi Analytics embedded analytics solution and introduce you to the #1 Logi Analytics alternative – Reveal.  

Low-code/no-code development platforms are great at reducing the time needed for an application to be fully functioning and completed. Users with no coding experience can create BI applications with powerful data visualization and reporting capabilities, and developers can create apps from start to finish in a matter of minutes rather than weeks or months of traditional hand coding.  

Find out what are the pros and cons of the Sisense embedded analytics platform and how it matches Reveal’s self-service embedded analytics solution.  

A high-impact dashboard UI can be a daunting thing to design. Especially if you don’t know where to start. But following the dashboard design best practices that we list in this article makes the goal achievable.

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.  

We know that in today’s highly competitive business environment and flooded markets, choosing an embedded analytics vendor for your business needs could be quite overwhelming, and to help you make the best choice, we’ve compiled this list of the top 7 embedded analytics platforms. 

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.