Over time, even well-maintained databases can accumulate inconsistent values, outdated information, and duplicate entries.
For example, a location entered as “Machine Shop 1,” “Machine Shop #1,” and “Machine Shop One” might appear as three different locations when filtering reports. These inconsistencies can make it difficult to get a complete picture of your calibration data.
Which of the following database maintenance or data consistency challenges have you encountered in GAGEtrak?
- Inconsistent location names
- Duplicate or inconsistent gage types
- Archiving of calibration records
- Outdated or inactive gage records
- My database is already in good shape!
- Other
Join the Discussion!
Have you encountered inconsistent data that caused problems with reporting, calibration scheduling, or audits? How did you address it?
We’re also exploring the idea of offering a professional database health and cleanup service to help customers identify inconsistencies, standardize information, and improve overall database organization.
Would a service like this be valuable to your organization?
We’d love to hear about your experiences and what you think would be most helpful!