OptOps Events

Data Alone Isn't Enough

Time-series data tells you what happened to your signals. But it doesn't tell you why. Was that anomaly caused by a planned intervention? An upstream equipment failure? A change in operating conditions? Without context, operators and AI systems alike are left guessing.

OptOps Events provides that missing context. By building a comprehensive library of events that have occurred at your facility, we help you understand not just what the data shows, but what was happening around it.

Key Features

Comprehensive Event Logging

Track every significant occurrence at your facility: manual interventions, automated actions, instrument anomalies, maintenance activities, configuration changes, and more. Build a complete record of what happened and when.

Timeline Integration

Events are seamlessly linked to your time-series data, creating a rich timeline that shows both signal behaviour and the context around it. See exactly what was happening at any point in time.

Causal Analysis

Draw connections between events and data patterns. Identify whether relationships are causal or merely coincidental. Understand the true drivers behind the behaviour you observe in your facility.

Human & Machine Events

Capture events from all sources: operator actions, automated system responses, external triggers, and AI-detected anomalies. Every significant occurrence becomes part of your facility's operational record.

Structured Event Data

Events are stored with rich metadata: timestamps, categories, affected systems, responsible parties, related signals, and free-form notes. Query and filter events just like you would any other data source.

AI-Ready Context

Our AI systems use event data to provide better analysis and recommendations. When the AI understands the context behind an anomaly, it can give you more accurate insights and avoid false conclusions.

Why Context Matters

Imagine you're investigating an anomaly in your facility data. The signal spiked unexpectedly, and you need to understand why. Without event data, you're left scrolling through logs, asking colleagues, and piecing together a timeline from memory.

With OptOps Events, the context is right there. You can see that a maintenance team was working on upstream equipment at that exact time, or that an operator made a configuration change moments before. The mystery becomes a clear causal chain.

This same context transforms AI analysis. When our AI systems investigate an anomaly, they don't just look at the numbers. They look at what was happening around those numbers. They can distinguish between a genuine problem that needs attention and an expected consequence of a planned intervention. The result is better insights, fewer false alarms, and more accurate root cause analysis.

Ready to Add Context to Your Data?

Get in touch to learn how OptOps Events can improve your facility's diagnostic capabilities.