ArcGIS Data Reviewer (formerly GIS Data Reviewer) is an extension to ArcGIS Desktop that provides a complete system to automate and simplify your data quality control (QC) process. Data Reviewer lets you centrally manage the error QC lifecycle process-finding, correcting, and verifying errors-thereby eliminating any paper trail associated with traditional QC processes.

ArcGIS Data Reviewer provides a variety of automated checks that can immediately improve your data integrity such as spatial, attribute, topology, connectivity, database validation, and z-value, that users from any industry can easily configure and run on their data. With ArcGIS Data Reviewer, you can:

• Automate and simplify your QC process using out-of-the-box, user-configurable checks.
• Access preconfigured batch jobs specific to your industry via the ESRI Resource Center.
• Track who reviewed and corrected your data and when by automatically capturing user information and a date/time stamp.
• Streamline the error correction workflow across the organization by storing error properties in a centralized location.
• Implement a consistent, organization-wide data review process by sharing batch jobs between teams or with contractors.
• Create your own data review process by building additional checks specific to your organization.
• Free up resources by scheduling data checks to run at specified dates and times-often when staff are away.
• Ensure that changes to versions are correct before reconciling and posting to the parent or master version.

ArcGIS Data Reviewer saves time and organisational resources by allowing you to:

Co-ordinate the Data Review

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

Simply 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 utilise a consistent automated review process when validating their data.

Improve Visual Data Review

• Use the Notepad Sketch tools to digitise 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.