In Query, include hyperlink in export as is done with Lists
One of the best features of Lists is the inclusion of a hyperlink to the record with an export. A similar feature in Query would help drive users of exported data back into the database to record information.
Many organizations rely heavily on Query to identify groups of records that require review, cleanup, or updates. However, Query currently limits the number of results that can be viewed directly within the system.
Because of this limitation, users are forced to export query results to review the full dataset. Once exported, the workflow becomes highly inefficient:
Users cannot open constituent records directly from the query exported results
Each record must be manually searched again in RENXT - because even the search function in the query can't populate these records.
This process must be repeated record by record
This creates a significant disconnect between data identification (Query) and data maintenance (record updates).
Business Impact
This limitation results in:
Major productivity loss for database teams
Increased risk of data entry errors when re-searching records manually
Slower data cleanup cycles
Reduced adoption of Query for operational workflows
For the many organizations that use Query as a primary tool for data maintenance, this represents a substantial regression in usability and efficiency.
Solution
Add Record Links to Exports
Enhance exported query results by including:
Clickable links (URLs) that open the corresponding record in RENXT
Similar functionality already exists in Lists, demonstrating this is feasible
This would allow users to:
Work from exported data while maintaining seamless access to records
Avoid repetitive manual searching
Bringing Query capabilities in line with Lists, by enabling record linking, would:
Eliminate unnecessary steps
Restore efficient bulk data workflows
Improve overall user satisfaction and productivity
The current Query limitations create unnecessary friction and significantly slow down routine database maintenance. Enabling direct record links in query exports would dramatically improve efficiency and align Query with real-world usage needs.
Enable Clickable Record Links in Exports.
Problem
Many organizations rely heavily on Query to identify groups of records that require review, cleanup, or updates. However, Query currently limits the number of results that can be viewed directly within the system.
Because of this limitation, users are forced to export query results to review the full dataset. Once exported, the workflow becomes highly inefficient:
Users cannot open constituent records directly from the query exported results
Each record must be manually searched again in RENXT - because even the search function in the query can't populate these records.
This process must be repeated record by record
This creates a significant disconnect between data identification (Query) and data maintenance (record updates).
Business Impact
This limitation results in:
Major productivity loss for database teams
Increased risk of data entry errors when re-searching records manually
Slower data cleanup cycles
Reduced adoption of Query for operational workflows
For the many organizations that use Query as a primary tool for data maintenance, this represents a substantial regression in usability and efficiency.
Solution
Add Record Links to Exports
Enhance exported query results by including:
Clickable links (URLs) that open the corresponding record in RENXT
Similar functionality already exists in Lists, demonstrating this is feasible
This would allow users to:
Work from exported data while maintaining seamless access to records
Avoid repetitive manual searching
Bringing Query capabilities in line with Lists, by enabling record linking, would:
Eliminate unnecessary steps
Restore efficient bulk data workflows
Improve overall user satisfaction and productivity
The current Query limitations create unnecessary friction and significantly slow down routine database maintenance. Enabling direct record links in query exports would dramatically improve efficiency and align Query with real-world usage needs.