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Data quality

Data quality pertains to aspects such as availability, completeness, accuracy, consistency, relevance and timeliness of data.


High data quality is essential to business intelligence’s role as a means of decisional support.


Poor data quality examples: missing fields, old or inaccurate information, data conflicts, inaccessible data in legacy systems.