There are five traits that you'll find within data quality: accuracy, completeness, reliability, relevance, and timeliness – read on to learn more.
- What are the 8 characteristics of data quality?
- What are the 6 characteristics of data quality?
- What are the 7 principles of data quality?
What are the 8 characteristics of data quality?
We recommend measuring against these criteria—Accuracy, Validity, Uniqueness, Completeness, Consistency, Timeliness, Integrity, and Conformity. These criteria should also be set up as rules in your Data Quality Management system to maintain high-quality data at all times.
What are the 6 characteristics of data quality?
Data quality meets six dimensions: accuracy, completeness, consistency, timeliness, validity, and uniqueness.
What are the 7 principles of data quality?
Issues relevant to this principle are professional independence, mandate for data collection, adequacy of resources, quality commitment, statistical confidentiality, impartiality and objectivity.