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Data warehousing supplies users with actionable insights and helps everyone within one organization make the right call on everything from marketing strategy and product development to human resources and budgeting.  

A sales analytics solution allows your sales rep to identify the characteristics of customers that spend the most money on your product/service and focus their time engaging with those high-quality leads that add value to your business.  

Organizations that want to leverage the full potential of their data to make on-the-spot decisions, have to continually follow the latest trends and technologies in the BI and data analytics space in order to increase revenue, accelerate growth, and improve productivity. 

If you’re looking for an alternative embedded analytics solution, in this article you’re going to find out how Tableau compares to Reveal. We are comparing features, integration, pricing, and more.

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.