The problems with tests can be grouped into three areas
There are too many alerts from test failures causing people to not pay attention to them
The signal to noise ratio is too low and data teams waste time on false positive test failures
Data teams don’t implement tests in the right places and data issues are caught by end-users (View Highlight)
