Data Quality Assessments

Data quality assessments systematically investigate each facet of the quality of a data set.  Trained data managers and methodologists review a data set and its associated documentation and score it on a variety of metrics such as uniformity, consistency, and interpretability.  The result is a quantitative data quality scorecard that shows a data set’s strengths and weaknesses. Executives and their data managers use this information to target data quality improvement efforts in an effective and efficient manner.