Guide

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OT Data Observability for AVEVA PI

OT Data
Observability for AVEVA PI

Osprey plugs into PI and delivers precision OT data reliability for PI Vision users, ML, and next generation AI applications.

MEASURABLE IMPACT

78%
FASTER TIME TO RESOLUTION
100+
HOURS RECOVERED PER USER PER YEAR
100%
AUDIT TRAIL OF ANY CHANGE

THE PROBLEM

Industrial teams using PI Vision, analytics, and AI cannot confidently trust the PI data they consume

Industrial teams using PI Vision, analytics, and AI cannot confidently trust the PI data they consume

Industrial teams using PI Vision, analytics, and AI cannot confidently trust the PI data they consume

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Data contextualization only delivers value when users trust the underlying OT data. Engineering teams spend up to 80% of their time troubleshooting data issues, delaying decisions, frustrating users, and eroding trust in operational data. Issues arise when changes to equipment, sensors, calculations, and PI configurations go unnoticed by administrators and downstream OT data consumers.

1

How the Issue Manifests

A PI Vision display, BI report, or AI application shows inaccurate data

Users make poor decisions impacting the business through downtime, a product quality issue, or financial loss

2

Nobody Knows

The issue persists for days to weeks.

Issues compound with no escalation


3

Management is alerted

Someone notices the data looks wrong: an operator, engineer, or analyst.

They raise a concern

4

Upon Investigation

A manual investigation is started to remediate the problem, taking weeks, while the issue compounds

THE SOLUTION

Integrate data observability into AVEVA PI and Asset Framework models

Integrate data observability into AVEVA PI and Asset Framework models

Integrate data observability into AVEVA PI and Asset Framework models

Trace operational data across PI tags, Asset Framework, analyses, PI Vision, and downstream systems. Instantly understand where data originates, when it changes, and what it impacts

Track changes across Asset Framework, analyses, PI Vision, interfaces, and templates. Compare revisions, identify unexpected changes, and simplify investigations

Continuously detect stale tags, flatlined signals, missing data, and historian issues. Catch problems before they impact dashboards, analytics, and AI

Turn data quality issues into actionable incidents. Assign ownership, track investigations, and integrate with ServiceNow to reduce resolution time

Build custom OT applications, reports, and queries to enhance existing reports. Use lineage, data quality, and asset context to support specialized engineering and operational workflows

Integrate with PI System, Azure Data Lake, Snowflake, Power BI, Microsoft Teams, ServiceNow, and other enterprise platforms without disrupting existing workflows

WHY OSPREY

Built by PI experts for PI users

Free Trial

As operational data powers more dashboards, analytics, and AI applications, the cost of inaccurate data keeps rising. Administrators, managers, and IT cannot keep up with the demand to research, troubleshoot, and deliver quality OT data manually

Designed for PI

Built by PI experts for PI users. Plug and play against the system you already run

Deployment options

Runs on premise, in a private cloud, or in the Tycho Data cloud

Proactive alerts

System generated alerting confirms applications are consuming the correct data elements

Performant

Observability that does not degrade PI System performance

ENTERPRISE READY

Deploy on premises, in a private cloud, or with Tycho Data Cloud



Lightweight architecture supports secure scalable deployment across enterprise PI environments

Next generation tech to build asset models, organize and search documents and drawings, and detect anomalies early

Forge

Build asset models faster

Construct and maintain Asset Framework models without hand building every element and attribute

Compass

Find the technical document you need

Organize and search drawings, specifications, and documentation against the assets they describe

GET STARTED

Plug data observability into your PI environment