Trying to obtain perfect prices would mean a far too time-consuming data discipline, in which the company was not interested. This aim of data quality improvement goes well with the statement earlier in Figure 2, in which improvement of data quality is only applicable to a certain level. Trying to maintain data quality over a certain threshold will result in costs pertaining to data discipline inexpediently exceeding costs saved by better decision-making due to better data quality.