Accuracy (data quality)

Accuracy measures whether data is true: whether the customer’s address is really theirs, whether the price is the current one, whether the amount matches the original invoice.

It is the most expensive dimension when it fails and the hardest to measure, because you need a reference source to compare against: an official register, an original document or a manual check of a sample.

In practice it is measured on critical data, by comparing a sample or checking against master tables.

Read more: The 6 data quality dimensions with examples and our complete data quality guide.