Key Features

GIS Data ReViewer saves time and organizational resources by allowing you to

Coordinate the Data Review Effort

• Track the history of the anomaly through submission, correction, and verification and easily share the information across the enterprise.
• Standardize geometric and attribute validation through the checks included within GIS Data ReViewer.

Simplify the Data Quality Control Process Using Automated Checks

• Take advantage of 40 out-of-the-box automated checks to validate your spatial data.
• Apply checks to an entire feature class or database, to features within the current extent, on a selected set of features, or on modified features only.
• Save groups of checks as a batch job and run it against the data multiple times. Distribute batch jobs across the enterprise to allow users in different locations to utilize a consistent automated review process when validating their data.

Improve Visual Data Review

• Use the Notepad Sketch tools to digitize missing features directly into the map.
• Use the Flag Missing Feature tool to simply indicate the location of the missing feature according to the feature class and subtype to which it belongs.

Log Review Results Easily and Accurately

• Use the ReViewer table to record the results of your review process with information on feature class name and subtype, a description of the anomaly, and correction and verification information. This framework provides a simplified workflow for anomaly correction across the enterprise. Simply click the record in the ReViewer table to display and zoom to the feature in question.
• Store anomaly information in a geodatabase (file, personal, or Spatial Database Engine [SDE]), which can be either the production geodatabase or a separate geodatabase.

Schedule Data Checks Using the ReViewer Service

• Schedule batch jobs to run once at a specific date and time or to run repeatedly at set intervals using the ReViewer Service (a Windows service), then write the results to the ReViewer table.

Generate Random Samples for Quality Control

• Generate a random sample of features to review and write it to a sample table that the user can validate. When an anomaly is identified, it can be committed directly to the ReViewer table and the record marked in the sample table.