Data quality dimensions

Data quality dimensions: The most important dimensions whose data quality can be assessed are:

  • Correctness: factual agreement of the data with the properties of the real world object that it represents.
  • Consistency: agreement of several versions of the data related to the same real objects, which are stored in various information systems.
  • Completeness: complete existence of all values or attributes of a record that are necessary.
  • Actuality: agreement of the data at all times with the current status of the real object and adjustment of the data in a timely manner as soon as the real object has been changed.
  • Availability: the ability of the data user to access the data at the desired point in time.
Source: Otto, Boris; Österle, Hubert: Corporate Data Quality: Prerequsite for Successful Business Models, 2015 (http://www.cdq-buch.de/)
 
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