If we take a look at the problem universe that we designed for our telecom giant's use case, we can see that we have identified multiple problems. A few are basically the hypotheses that we might have missed while brainstorming for HDH; additionally, due to limited visibility of the domain, we might have missed out during the creation of DDH. After reaching prescriptive analytics, we would have ideally finished one complete iteration of the problem. At this point, we will have reinforced our understanding about the problem and domain better. We can leverage this to improve the problem further with another round of iteration, but in some cases, we might find out a few new problems that are completely different from the current problem we are trying to solve. For our use case, refer to the following problem universe:

The problems highlighted in red are actually new problems. Staff training and customer education are smaller problems that can be...