Data Quality is measured periodically

Data Quality is measured periodically

Data Quality meets six dimensions: accuracy, completeness, consistency, timeliness, validity, and uniqueness. Data Quality is measured periodically on the following topics:

• Data Integrity

  • Unicity integrity

  • Referential integrity

  • Attribute Integrity

• Data Dependency

  • Values of attributes between attributes of a record of a table

  • Values of attributes between attributes of two or more records of a table

• Validity: does the value of an attribute conform with the defined business rules

• Accuracy (nauwkeurigheid)

• Completeness (volledigheid)

• Consistency (consistentie)

• Timeliness (tijdigheid)

• Having direct access to the own data collections in its native structure and origin content

  • If not, then a 100% serious data quality issue is encountered!

Data Quality has an impact on the execution of the business processes serviced by systems and on the information provisioning. By measuring Data Quality periodically - it is a snapshot moment - you get insight into the status (increase, decrease) of the Data Quality in the organization.