It is majorly used to explore our data and discover new patterns. It aids in answering any curious mind's research questions. And most importantly it helps share the answers and the insights to relevant stakeholders in all the ways they can understand. It makes the data analyst's job easier and decision maker's decisions smarter.
We use both. But SAS is always the starting point to all analytics projects. It is a wider array of products and features. Gives robust results and reporting is easier. There is always this one or two things for which you turn to some other products to fill the holes.
Increasingly improving data connectivities. SAS applications are amazing in terms of data manipulation and data preparation for analysis and modelling. I haven't used real-time capabilities yet but it's reasonable to say they are way ahead on the curve for providing a universal solution to all data analyst needs.
An array of sharing features and personalization available for sharing with specific stakeholders in specific ways they like. And above all you can always turn to coding and customizing it to make the visualization perfect for the need. SAS BI gives you granular control of user access.