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| Coordinate the Data Review Effort |
- Track the history of an anomaly through submission, correction, and verification, and easily share the information across the enterprise.
- Standardize geometric and attribute validation through the checks included within ArcGIS Data Reviewer.
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| Simplify the quality control process by using out-of-the-box checks or by creating your own. |
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| Simplify the Data Quality Control Process Using Automated Checks |
- Take advantage of more than 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.
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| Store and rerun QC tests and distrbute them throughout the organization for consistent validation. |
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| Improve Visual Data Review |
- Use the Notepad Sketch tools to digitize missing features directly into a map.
- Use the Flag Missing Feature tool to simply indicate the location of a missing feature according to the feature class and subtype to which it belongs.
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| Improve the visual data review process by using a systematic approach to navigate through your data. |
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| Log Review Results Easily and Accurately |
- Provide a simplified framework across the enterprise for anomaly correction by using the Reviewer table to record the results of your review process. Store information on feature class name and subtype, a description of the anomaly, and correction and verification information, and 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
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| Schedule Data Checks Using the Reviewer Service |
- Schedule batch jobs to run once at a specific data and time or to run repeatedly at set intervals using the Reviewer Service (a Windows service), then write the results to the Reviewer table.
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| Schedule and run checks at set intervals using Reviewer Service. |
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| Generate Random Samples for Quantity Control |
- Simplify the quality control of large datasets by generating a statistical sample of features using the Sampling Check. Results are written to the Reviewer table for your review.
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