Why Measure – Quality and Reputation

Bad Data Quality and Reputation 

Once an impression of bad quality has taken root among users, is it difficult to change the reputation. The belief in bad quality lives on, a long time after the situation has been corrected.

This is because users’ perception of “Data quality” is based on the errors and inconsistencies that they notice, while good functionality and good data makes a much weaker impression.

Combine this with the fact that data quality will never be 100% good, and we surely have a losing hand.

So how do we change this to a winning hand? Through continuous measurement, we provide evidence that our governance efforts are having the desired effect, and that data quality is constantly improving.

Guldmann,IBM