In quality management, real-time access to accurate metadata is vital for consistent, reliable operations. Keller Pressure, a Swiss leader in precision pressure sensing, relies on a robust Quality Management System (QMS) within Confluence to maintain data accuracy and compliance. By implementing PocketQuery, they’ve integrated dynamic data into their Confluence pages, ensuring their QMS remains streamlined and up-to-date.
The challenge: Manual page updates as a bottleneck
For Keller Pressure's Atlassian administrator, Noël, manually updating critical metadata in Confluence had become a serious bottleneck. Keeping essential fields such as page ownership and approved version up to date was time-consuming and error-prone, jeopardizing the accuracy of the QMS. Recognizing the need for a more efficient solution, Noel was looking for a way to automate these updates and eliminate the risks associated with manual data entry.
The solution: Implementing PocketQuery for real-time data integration in Confluence
Noël selected PocketQuery for its ability to automatically pull real-time data from REST APIs using pre-defined queries. Through PocketQuery, Noël created a dynamic Confluence page header that displays essential QMS metadata—specifically the page owner and the last approved page version, which is updated to the Confluence page properties by a separate document management application.
With PocketQuery’s nested query functionality, Noël configured successive REST API calls to retrieve the page owner and approved version from the Confluence API, eliminating manual updates and reducing errors. This setup has transformed Keller Pressure’s QMS by ensuring real-time accuracy and reliability in metadata updates.
Key benefits of PocketQuery for Keller Pressure
Keller Pressure’s use of PocketQuery in Confluence has streamlined their Quality Management System with:
- Accurate, Up-to-Date data: Automated updates keep essential metadata current, reducing outdated information.
- Time and resource savings: No more repetitive data entry—allowing the team to focus on strategic tasks.
- Fewer errors and stronger data integrity: Automation minimizes mistakes, ensuring high data accuracy.
Keller’s experience shows how PocketQuery boosts efficiency, and enhances quality control in Confluence setups.
Conclusion
Keller Pressure’s success with PocketQuery highlights the transformative potential of integrating real-time data within Confluence. By automating metadata updates, Keller Pressure has reinforced the accuracy of its QMS while freeing up time and resources. For organizations seeking to enhance data integration in Confluence, PocketQuery offers a powerful solution that drives both efficiency and reliability.
Explore PocketQuery on the Atlassian Marketplace to see how it can benefit your team!