The user selects a function and source of the data along with time granularity.
R picks up the data from the selected source within DB, does the computation and stores the results on BRS.
Once the task is completed, user can view the result. The user is allowed to run the same function time-to-time and can compare the results with the previous ones.
BangDB integrated with R to provide insights in an ad hoc manner to understand patterns and to select suitable machine learning model that should be a good fit for the data.
It allows users to select from set of pre-defined functions.
The functionality will be extended allowing users to run their own analysis down the line.
