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Whether managing resources for a nation or facility assets for a local community, you want to make sure that your data is free of errors. With ArcGIS Data Reviewer, you can make data quality a component of your overall data management strategy.
“We can now perform consistent QA/QC tasks and keep our data in top shape after we have done the initial time investment.”
Daniel Hewitt—GIS Specialist, City of Woodland
Do you write code or use a custom app to find errors in your data? Eliminate the cost of maintaining the code/app by using out-of-the-box checks. These checks can quickly identify a variety of issues such as feature integrity, attribute completeness, spatial relationships and metadata content.
Ensure your source database is of high quality by automatically finding, recording, and tracking information about features that don't meet the specifications. Implement an organization-wide data review process by sharing data quality business rules between teams or with contractors.
Increase efficiencies by leveraging configurable checks to validate data automatically and workflows to ensure that all data quality results are properly addressed. Free up resources by scheduling validation tasks to run at specified dates and times, enabling staff to work on other priority tasks.
Are most of your organization's best practices stored as documents or inside the heads of subject matter experts? Retain that knowledge within your organization by translating best practices into pre-configured checks, and ensure they meet your industry- and organization-specific requirements.
Gain insight into the source and causes of poor data quality by using automatically captured statistics. Use reports and dashboards to monitor data health and identify error trends that inform your users of quality issues.