You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Is your feature request related to a problem? Please describe.
When viewing a data source, its difficult to quickly determine what has changed.
Describe the solution you'd like
Potentially, the Achilles output could be leveraged to show differences in counts (persons, records), data quality issues between two versions within a data source
Describe alternatives you've considered
Currently, this requires opening two tabs of ARES and eyeballing the various reports and graphs.
The text was updated successfully, but these errors were encountered:
This feature exists in the domain reports by displaying the 'delta' columns. The delta columns show the difference from the prior release. A recent bug has caused some issues with this display with the latest releases, however we're pushing a fix for that issue.
@fdefalco That domain level delta is really helpful! In addition to such, would we be able to pull the comparison up a level for example a delta of persons and records in each CDM table in one report? I'm thinking a report like that could help us to identify major issues with tables/domains quickly e.g a 25% drop/increase in condition_occurrence records that would then prompt us to take a closer look at the condition domain report for exact details.
Is your feature request related to a problem? Please describe.
When viewing a data source, its difficult to quickly determine what has changed.
Describe the solution you'd like
Potentially, the Achilles output could be leveraged to show differences in counts (persons, records), data quality issues between two versions within a data source
Describe alternatives you've considered
Currently, this requires opening two tabs of ARES and eyeballing the various reports and graphs.
The text was updated successfully, but these errors were encountered: