Completeness

Definition:

(In the context of Data Management) a measurement of the availability of required data attributes.

Commentary:

Completeness measures the existence of required data attributes in the population of data records. Completeness is one of the seven data quality dimensions.

Examples:
– A missing ticker symbol, CUSIP, or other identifier
– A fixed income instrument record with a null coupon value
– A benchmark or index that is missing a dividend notice or stock split
– A record with missing attributes