My thinking is that years ago, data integrity was not as important as people are realizing it is today. I am just finishing up a data mining class and one of the biggest issues with target variable results is bad data. As a programmer in the food industry, I am mindful of our control limits on some of our critical data that is needed for GMP and FDA purposes. Hopefully years from now when the analysts are mining data that has been entered from one of my applications, they will be happy that somebody took time to work closely with the "key" players (namely our Quality department) and have those data validations in place.