R for Statistical Computing and Analysis of Big Data
R as a powerhouse for business intelligence and Big Data analytics
R has been around a while and few can argue its ability to make easy work of Big Data queries. The R programming language is a key player in enterprise pursuits of leveraging Big Data for business intelligence analysis. One challenge that arises in this type of deployment is that R is a tool which is intended to be used by trained personnel with familiarity of R or the Python programming language. Tableau reduces the need for an entire department comprised of these specialists by making the data which R leverages accessible without the user needing to be able to write code. It allows users to access and ask their own questions of the data, surfacing new data discoveries within the data uncovered by R.
Additionally, Tableau's visual analytics interface makes analysis simpler and communication of findings virtually effortless. Ad hoc analysis and per-user contexts are suddenly available when R is no longer limited by the users' knowledge or lack thereof. All you need is a question to ask the data. After that, exploration through complex data becomes virtually effortless.