Data Quality Assessment and Improvement Strategies

This paper provides methodologies for assessing the capabilities of an Information System (IS) to manage data quality and provides “real” methodologies in order to maintain higher levels of data quality. While it is generally believed that achieving 100% data quality is either mythical or too expensive, the objective is to achieve an average of 85% data quality or better; frequently in industry considered an acceptable or reasonable level.
Surprisingly, there has been a lot of discussion in...