The good and the bad: Taking a more holistic view of data quality

Data quality review often focuses on eliminating fraudulent data or data from respondents whose responses are questionable. But exclusionary quality reviews are only one part of the equation and do not always guarantee insightful findings. The approach explored here seeks to not only eliminate bad data but to identify the most valuable data.