Abstract

Utilizing Data Reviewer and Python to Develop a Quality Control System
Track: Smart Communities
Authors: Jonah Waterman

Data quality is essential to daily business decisions and workflows. Greenville Utilities has discovered that Data Reviewer could help manage records between the GIS and WAM databases and identify errors. Data reviewer could determine the orphaned features and provide a way to develop KPI’s on performance and best editing practices. Learn to leverage Data Reviewer to manage data quality, develop an automated Quality Control framework, and improve business decisions.