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.  

Find out what are the pros and cons of Microsoft’s data analytics platform and identify whether it is the right analytics solution for your business needs.  

We’ve gathered the most popular challenges and solutions for embedded analytics. Hopefully, that would make the implementation and adoption of an embedded analytics tool a no-brainer. 

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.  

Even though there are many technologies making embedding analytics into your applications easy, you still need to take the time to ensure you’re picking the best technology for your own unique business use case.

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.

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.