Context Levels in Data Science Solutioning in real-world

A Data science-based solution needs to address problems at multiple levels. While it addresses a business problem, computationally it is comprised of a pipeline of algorithm which, in turn, operates on relevant data presented in proper format. Contrary to the popular belief, almost all non-trivial data science solutions are needed to be built ground up with minute and interrelated attention to the details of the problem at all three levels. In the following we shall try to understand that with the help of a running example of aspects of a churn analysis solution. It is vital to understand that in most real-world cases we are re-purposing the data for building the solution.