Production environment choice - R / Python / SAS?

r
sas
python

#1

I have about 7 years of experience in analytics and data science. I have primarily used SAS in my professional experience and R / Python in personal capacity (mainly in Kaggle competitions).

While R and Python (especially iPython notebooks) are both great languages to perform targeted analysis and have libraries for cutting edge algorithms, I have not seen a production environment using R / Python for making instantaneous decisions (e.g. Credit card applications approval, fraud detection)

Can any one provide examples / case studies of real life case studies on R / Python? Also, what are the challenges and benefits of using it over SAS?


Machine learning using SAS vs Python
#2

Sniper,

There is nothing like SAS is the only software in production environment. There are several case studies on R available on Revolution Analytics showcasing use of R to solve various problems. Here is an example link:

There are companies building data science products based on R and Python - for example Shiny, yhat and datarobot.

I think your experience might be limited to a particular domain / industry / geography. For example, Python is the choice of language for companies like Google, Evernote, Dropbox. While they are not dealing with credit card approvals, they definitely detect a lot of fraud at their end.