It has to be said, data gathering is often a painful exercise. The data you need usually lives in a number of locations across the organisation, and is often owned, operated, and maintained by different departments (and sometimes, it is even on spreadsheets). The outcome? When you want to add in that last-minute data set which will provide an ‘ah-ha’ moment in your metrics, it’s often more of an ‘oh-oh’ moment.
Tip: Luckily, data analysis can be an iterative process which matures over time. By introducing re-usable processes which allow you to quickly include or exclude variables you can cut down on the time needed to collect data.