Latest Contributions by JayCary

ArcGIS Data Reviewer provides capabilities that enable you to automate and simplify data quality workflows that lower data management costs and create high quality data. The purpose of the ArcGIS Data Reviewer Roadmap is to provide an estimate of when new capabilities will be released in the future. By following this roadmap, we will be continuously improving the capabilities of ArcGIS Data Reviewer, meeting the evolving needs of users and providing a powerful and efficient solution for managing data quality. What would you like to see next in ArcGIS Data Reviewer? Feel free to share your thoughts in the ArcGIS Data Reviewer Ideas board.  Near-term goals Near-term goals include those capabilities planned for the next couple of releases of ArcGIS Pro and ArcGIS Enterprise. These include expanding Data Reviewer’s data quality control capabilities available in attribute rule-based workflows and support for exploratory/ad hoc assessment of data quality in ArcGIS Pro. Near-term goals for ArcGIS Data Reviewer For automated review of features, these goals include expanding and simplifying data quality control capabilities integrated in attribute rules. This includes a redesign of the Valency check that addresses usability and discoverability of this unique form of data validation. Expanding support for Z-enabled features in Data Reviewer checks begins with an update to the commonly used Feature on Feature check. This update will enable you to include feature Z-values when assessing its spatial relationship with other features. To support data migration workflows, Data Reviewer’s series of linear-referenced event checks (Event on Event, Find Event Gaps, Find Event Overlaps, Find Orphan Events, and Invalid Event Measures) will be updated to support evaluation of features stored in file and mobile geodatabases. Near-term goals for automated review workflows Another area of focus in the near term will be to expand support for semiautomated review of data in attribute rule-based workflows. Semiautomated review assesses data quality using methods that typically involve human interaction and input. This includes enhancements in ArcGIS Enterprise to support visual review of features using ArcGIS Pro (with the Flag Missing Features and Browse Features tools), web applications (created using either the ArcGIS Experience Builder or the ArcGIS Maps SDK for JavaScript), and support for managing errors derived from 3rd-party tools and workflows. Near-term goals for semiautomated review workflows Another near-term goal is to improve management of errors resulting from both automated and semiautomated data review. The main objectives are to simplify error management tasks by automating the retention of corrected/verified error records and enhancing the data correction workflows using the Error Inspector in ArcGIS Pro. In ArcGIS Enterprise, the Validation Service will be enhanced to support the life cycle management of error results created during semiautomated data reviews. Near-term goals for error management workflows Last, but not least, users have been asking for the ability to assess data quality outside of attribute rule-based workflows. Typical use-cases for this form of data review include exploratory assessment of data received from outside sources, data stored in different formats (shapefiles, traditional versioned enterprise geodatabases, feature services), or evaluation of features in automated workflows created using either Geoprocessing or the ArcGIS API for Python. Near-term goals for ad hoc data validation Mid-term goals Mid-term goals include those capabilities planned for subsequent releases. These include: Automated reporting that provides transparency into data quality Automation for the creation of constraint/validation attribute rules Expanded support for evaluating the quality of Z-enabled features In ArcGIS Pro, enhancements to the Error Inspector include support for exporting error features to Excel and extending attribute filtering to include additional error properties (such as error title, error source). Mid-term goals for ArcGIS Data Reviewer Long-term goals Long-term goals are those features in the roadmap that have not been assigned to a specific release. These include support for automated review for ArcGIS Online hosted features services, automated review for 3D object features, and error correction workflows. Long-term goals for ArcGIS Data Reviewer Summary As with any roadmap, capabilities are tentative and may evolve, be delayed, or removed from the roadmap as priorities change. The continued development or release is at the sole discretion of Esri. For more information on the latest release of ArcGIS Data Reviewer see the What’s New in ArcGIS Data Reviewer blog. ... View more