Collecting data for analysis is more than a statistical process. All of the math in the world will not compensate for not understanding the behavior of the process you are trying to measure. Not everything is settled in numbers. Some things will be discovered in context. For example, “We really have problems when it is raining.”
As a result, data collection plans embody four qualities of collected data that are essential to optimize its usefulness. These qualities have to do with the data’s ability to represent the process’ performance.
- There must be sufficient data to see the process’ behavior.