Microsoft access 2016 validating internet dating industry statistics
Greg used to work for a large Fortune 500 company, and he says that the company made its data entry clerks enter all data : One clerk would enter the data in a file and then, when finished, another clerk would enter the same data.
Then a comparison would be run to find exceptions where data didn't match, and that would then be reconciled.
The lesson, he says, is that to the company, accuracy was far less costly than paying its employees to do the same job twice.
This quantity should be positive, of course, but it should also be less than 1.
This chapter introduces you to several techniques that serve to either make data entry less of a chore, or to reduce or eliminate data entry errors (or both).