When reading about 'Predictive to Prescriptive' analytics, I am not able to find good examples of what it actually means.
I know that a
predictive model can only tell me
what will happen. And in real business scenarios this is not enough. I need to know what can I do to handle that predicted thing for better results and that's were
prescriptive stuff comes in. And I read that optimization is a major part of this step.
Therefore, my curiosity is how to do prescriptive analytics? Any examples? something like Kaggle(though I searched)? How a randomForest/logistic reg model is converted for decision making through optimization ?