Features


Automate Detection

Automate Detection

Take advantage of more than 40 out-of-the-box validation checks to automatically detect errors in your data. You can configure these checks to meet the unique business requirements of your industry or organization without writing custom code.


Improve Visual Review

Improve Visual Review

Not all errors in your data can be detected using automated methods. Data Reviewer provides simple-to-use visual review tools to identify missing or misplaced features, improperly attributed features, and other errors that can't be detected automatically.


Track and Communicate Data Quality

Track and Communicate Data Quality

Communicating the quality of data used in decision making via automated reports and/or web-based analytical dashboards reduces risk and improves outcomes. Tracking and monitoring the status of your data's "health" demonstrates effective data management by ensuring errors are resolved. The Reviewer table is the interface for accessing, tracking and managing anomalies throughout their life cycle. By simply clicking a record in the table, the feature can be corrected or further analyzed. Once data analysis is completed, the reporting tools can be used to communicate data quality to stakeholders.


Integrate QC into Business Processes

Integrate QC into Business Processes

Data Reviewer integrates the various tasks that support a comprehensive data quality control process, such as executing automated checks interactively and as a recurring event, into your daily routine. This ensures that the output of your work, whether it's hardcopy maps or web services, meets the defined level of quality.

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