PI Vision Data Quality, Everywhere You Browse
By a former PI System product manager, now leading product at Tycho Data
PI Vision is the window into your industrial operations but what happens when the data you see can’t be trusted?
Historically, the only way to embed trust insights into PI Vision was by modifying each individual display with a trust badge something most teams simply don’t have the time or resources to maintain.
That changes today.
We’re excited to announce the Osprey Trust Browser Extension, available now for Google Chrome and Microsoft Edge, giving you instant insights into data quality directly within PI Vision.
What It Does
The Osprey Trust Extension provides a lightweight, powerful way to:
✅ View data quality for all tags and attributes in a PI Vision display
✅ Identify which data streams are stale, missing, or abnormal
✅ Check which PI Data Archive and AF server the data is coming from
✅ Escalate or report issues directly from the display
✅ Use without any changes to your PI Vision displays
Why It Matters
1. No More Display-by-Display Modifications
Native trust badges in PI Vision are useful but only if they’ve been added to each display manually. That’s a heavy lift for organizations with hundreds (or thousands) of screens.
With the Osprey browser extension, trust insights are layered over displays automatically.
No display modification required. No rebuilds. No waiting on developers.
2. Data Transparency, at a Glance
Hover over any part of a PI Vision display to see:
- Tag or attribute name
- Source system (PI Data Archive or AF)
- Real-time data quality status
- Timestamps and recent activity
If something looks off, you’ll know exactly where to start.
3. Built-In Escalation
With one click, users can flag an issue directly from the extension.
Admins can receive alerts or even generate tickets (e.g., via ServiceNow integration) with issue context auto-filled using GenAI.
Designed for Operators, Engineers, and Support Teams Alike
- Operators can quickly confirm that what they’re seeing is up to date and accurate.
- Process engineers can investigate suspicious behavior without opening PI System Explorer.
- Admins can reduce support requests by proactively surfacing quality issues.
