Hub is capable of handling analytics written in the language of SAS, Python or R.
Hub stores published analytics in a central repository, providing version control and code management. The repository can be optionally connected to a third-party version control system, such as Git.
Build interfaces with ease
Without having to write any code, create user interfaces to operate with individual analytics. For example, prompt users for a particular input, such as a date, to use when executing.
Once local or remote run-time environments are defined in Hub, they can be easily associated with analytics at the point of publishing. Hub then manages execution requests to call appropriate production environment to run the analytics and route the resulting output back to the requestor.
Use a scheduling facility in the Hub to run deployed analytics at a specified time and day.