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For Enterprise Manufacturers

The Human Data Layer Your Tech Stack Is Missing

You've invested millions in MES, historians, and analytics. You have more machine data than ever. Yet your best operators still know things your systems don't capture.

The Enterprise Paradox

Your plants generate terabytes of data. You have dashboards for everything. And yet—when a quality issue occurs, your first call is still to the veteran operator who 'just knows' what's going on.

Massive Investment, Persistent Gap

MES, historians, SCADA, analytics—you’ve invested millions (on average 12% of revenue). But none capture the human intelligence that explains the machine data. The result: 8% quality costs and 300% replacement costs when key people leave.

Islands of Human Knowledge

Each plant has its own practices. Your best operators' knowledge is locked in their heads. Nobody knows what 'best' looks like across the enterprise.

70% Transformation Failure Rate

Digital initiatives deliver dashboards but not improvement. Machine data alone doesn't drive change—the human context layer is missing.

How Oppr Integrates

Oppr isn't replacing your technology investments. It's filling the gap that makes them more valuable.

Your Existing Stack

HistoriansMESSCADACMMSAnalytics

Oppr (The Missing Layer)

Human ObservationsContextExpertiseThe "Why"

Complete Picture

What + WhyCorrelatedQueryable

Enterprise Use Cases

Cross-Site Knowledge Transfer

All sites capture observations on the same platform. Best practices emerge from actual performance data. Living knowledge transfers, not dead documents.

Accelerated Root Cause Analysis

Operator observations from the time of incidents are already captured. Investigation time drops from weeks to hours.

Expertise Preservation at Scale

Knowledge capture becomes automatic across all facilities. When expertise walks out the door, observations and patterns remain.

Ready to Get Started?

See how Oppr fits your specific operational context.

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