Hi there,

At Siemens, knowledge is one of the company’s most valuable assets, and Confluence serves as the central hub for global knowledge sharing, collaboration, and documentation.

As Karsten Ehms, AI Research expert and co-lead of Siemens’ knowledge platform Wikisphere, notes:

“Almost everyone at Siemens touches the wiki at some point even if they don’t realize it.”

While Confluence connects people, data, and processes across the organization, teams faced challenges bringing dynamic, up-to-date information into the wiki. One early use case involved a custom project database used by consultants. This data lived outside of Confluence, making manual synchronization time-consuming and error-prone.

Other departments also needed live data inside Confluence, not just static pages. Administrators and researchers wanted to combine information from Confluence APIs, internal databases, and other sources in one place.

A unified solution with PocketQuery

Siemens turned to PocketQuery for Confluence to bridge these data silos. The project database was connected to Confluence through REST and JSON interfaces, enabling dynamic tables that automatically pull the latest data. This meant current, reliable information was available inside Confluence pages without manual updates.

While the Confluence page content remains static, the embedded PocketQuery table continuously pulls live data from Siemens’ external PLM and documentation systems. This ensures up-to-date information directly within Confluence, without manual updates.

Beyond this initial use case, Siemens expanded PocketQuery into advanced scenarios, including REST-based integrations with secure, cloud-ready architecture, dynamic dashboards displaying combined data from multiple systems, and controlled access for external partners.

Karsten Ehms emphasizes the flexibility of this approach:

“It’s pretty remarkable what we can do with PocketQuery in a wiki system. We’re combining data from Confluence and other sources in a way that would usually require custom development, but we can do it ourselves.”

The AI Research team also uses PocketQuery to support knowledge and process management, including structured data from graph databases that make Confluence content both human-readable and machine-interpretable. Modern authentication methods ensure secure and scalable data exchange.

From static pages to dynamic knowledge

With PocketQuery, Siemens transformed Confluence from a classical documentation space into a living knowledge system. Manual updates and isolated data have been replaced by real-time synchronization, unified dashboards, and structured, machine-ready content that supports AI initiatives.

“With PocketQuery, we can connect systems, people, and knowledge, all inside Confluence. It’s an essential part of our journey toward AI-powered knowledge management.”

- Karsten Ehms, AI Research and Knowledge Management Expert

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👉 For deeper insights, download the full success story:

Try PocketQuery on the Atlassian Marketplace now.

Best,

Alice from Lively Apps