A very useful way of adding context to a measurement is to segment it: take a measurement and split it up into groups
For example: segment customer data by age, social level, location, how long they stay in the store, how they know about us …etc.
Segmentation is how you add meanings to the number by looking into details. It is adding new dimensions to the data to help you understand what is actually changing in detail
The more data you can collect, the more ways of segmentation you can figure out, the more ways you can interpret, understand and get insights in the data
Raw, unorganized and un-segmented data are very low-value data