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?