Want to improve your GIS data quality and reduce your data management costs? Then head to this presentation on the ArcGIS Data Reviewer extension. Presenters define GIS data quality, explain practices for capturing quality requirements, and identify quality-related capabilities in ArcGIS. See how to use Data Reviewer's integration in attribute rules to prevent and detect poor-quality data and learn visual review workflows and tools to identify error sources that automation misses, such as missing, miss-coded, or spatially inaccurate features.