Before you analyze data, you should profile it.
Otherwise, your analysis may not be too broad, too narrow, or you may miss some important insights or errors.
This post is part of the Excel: Basic Data Analytic series.
Data profiling is developing a profile of your data, just as facial profiles of a person, taken from various angles, helps you size up a person’s nose, identify whether his chin is sagging, and how far apart the person’s eyes are.
If your department doesn’t track metrics on your analytics, you are probably not doing analytics or you are making little progress in analytics.
In either case, its obvious that analytics isn’t very important to your management.
Which is one of the points I made in my post, 10 Signs Mgmt Doesn’t Really Support Analytics.
So far, I have encountered very few audit departments that track meaningful metrics about their analytics.
Counting the number of projects that include analytics isn’t enough.
When I was visiting a friend, she told me that her garage door opener no longer worked. For once, I did not suspect to find any security failures.
Occasionally, I am wrong.