Case Study

Integrated Midstream Energy Provider

Learn how this integrated midstream energy provider gained real-time performance monitoring and predictive capabilities by implementing a fully integrated dataPARC system connected to their DCS and other data streams.

Company’s Story

When evaluating data platforms, this integrated midstream energy provider’s team had the opportunity to visit an existing dataPARC site. Seeing the system in action—and how seamlessly operators and engineers used it—gave the team full confidence that dataPARC was the right fit. They moved forward with implementation, connecting dataPARC to their DCS and other data streams to create a centralized platform for plant-wide visibility.

“Seeing the system in action gave the team complete confidence that dataPARC was the right fit for their plant.”

Real-Time Performance & Prediction

Dashboards, alarms, and limit tracking enable operators to monitor performance, maintain stability, and predict asset behavior in real time.

Full Plant Integration

A fully integrated system connects to the plant’s DCS and other data streams, bringing all process data into one place.

Trusted by Peers

A site visit to an existing dataPARC installation demonstrated the system’s value and ease of use firsthand.

Company’s Challenges

The plant needed a data platform that could unify information from their DCS and other sources while providing operators with real-time insight into performance and asset behavior. Without centralized visibility, teams struggled to maintain stability and predict potential issues before they impacted operations.

The dataPARC Solution

dataPARC delivered a fully integrated system that connected to the plant’s DCS and other data streams, enabling teams to view all process data in one place. With PARCview, operators gained a centralized platform for real-time monitoring across the facility. Dashboards, alarms, and limit tracking help operators monitor performance, maintain stability, and predict asset behavior—minimizing downtime and supporting more proactive decision-making.