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.