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.  

Fully branded white label dashboards offer custom personalization so that your customers can present a holistic service that is all branded to one company.

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.

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.

Guided analytics allows a company to set up, with the help of a developer, business applications featuring dashboards and charts that are updated based on user explorations and feedback. The end-user has no ability to create their own data visualizations, bring in one of their own data sources, or build dashboards and reports. Guided analytics BI operations are entirely owned by the IT team or dedicated business intelligence experts.  

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.