At the record level, a record is counted as erred if any field is in error and the error rate is the number of erred records divided by the total number of records. Record-level error rates are higher than field level error rates. The field-level measurement is more basic, but for some purposes the record level measurement is more appropriate. Many situations where data are important to the product or service. Billing is a good example.
All customers expect to be billed properly.
Many customer believe that billing is easy part and they think that if company cannot bill them right, so how can they fill order properly. It is hard to earn customer's trust when the bill is wrong. It is essential that companies that wish to satisfy their customers in the short run or pursue a business strategy of customer intimacy create and sustain extremely high levels of data quality. Now it's proven this statement false. It is almost always less costly to produce a product or service correctly the first time and minimize the costs associated with rework, warranty, repair, and so forth.