Customer stratification.
Many of the user stories that we take into account when we start to use more advanced data analysis and visualization techniques are not new. For example, we have probably already used basic QlikView methods to resolve the following user story.
The simplest way to define customer importance is to base it on how much they've purchased or how much profit they've generated. In its simplest form, we can resolve this user story with a bar chart that ranks customers by sales or gross profit.
However, given our increasing experience with QlikView, we'll take another look at this user story and use a more advanced analysis technique called customer stratification. This method groups customers according to their importance into bins. The number of bins can vary, but for this exercise we will use four bins: A, B, C, and D. We use two techniques to stratify customers. The first technique involves using the Pareto principal, and the second involves using fractiles.
