Latest Contributions by JayCary

Currently, error results displayed in the Reviewer Results pane can only be filtered by error type (doc for reference). This enables filtering of results to show only those related to feature errors, sampling (created when using the Sampling check) or metadata (created when using the Metadata check). Error management capabilities such as grouping, filtering, etc are planned for a future release. We'll be publishing a product roadmap soon that will outline estimated timelines for these and other capabilities. ... View more

The value add depends on how much your organization can invest in creating (and maintaining) custom code to replace data quality workflows currently implemented using Data Reviewer’s configurable tools. Starting with the 2.3 release, Data Reviewer’s automated checks will be migrated to support Attribute rule constraint and validation workflows. Check migration will happen over a series of releases due to the number of checks to be migrated and are prioritized based on customer frequency of use. (Note: You can influence this prioritization by participating in our customer survey!) Here are some items to consider: Implementation and maintenance costs Implementation of a Data Reviewer-based Attribute rule does not require specialized programming skills and can often be done by a subject matter expert with a good understanding of the organization’s data quality requirements. This results in lower implementation and maintenance costs when compared to custom code. (Actually, there are whole host of things to consider when implementing a system based on customized commercial off-the-shelf software (COTS). For reference, here is an Esri white paper (slightly dated) that outlines patterns in COTS-based deployments.) Functional equivalency Does Arcade support the data validation requirements that are currently implement with Data Reviewer checks? Depending on the Data Reviewer checks that are used in your system this may not be an issue. Operational efficiency Support for Data Reviewer-based validation workflows is planned for the Q1 2020 release. In testing, Data Reviewer’s validation engine significantly outperforms equivalent Arcade-based validations. This improves operational efficiency that results in lower operating costs. ... View more

In ArcMap, you can use the Reviewer Batch Job Manager tool to duplicate checks. Here is a link to the help topic for reference:  Duplicating checks in batch jobs—Help | ArcGIS Desktop  ... View more

Sounds like you are using a file geodatabase with your service. If so, the only operations that are supported are those which read from the workspace (such as dashboard and get results). You'll want to use an enterprise geodatabase for operations that create/write results. Here is a link to documentation that describes this limitation. ... View more