Streamlining Industrial Data with AVEVA PI: Insights from Our Webinar
Data is no longer a byproduct in the manufacturing industry—it’s the core driver of performance, efficiency, and growth. That’s where AVEVA PI comes into play, transforming raw, scattered data into actionable insights. In our recent webinar, we unpacked the AVEVA PI system, showcasing how it’s empowering manufacturers to streamline processes, visualize data, and drive value from their data sources. Here’s a closer look at the session’s highlights and how AVEVA PI changes the game.
Today’s manufacturing landscape is complex, with companies facing constant pressures to increase production efficiency, minimize downtime, and evaluate the performance of each asset. Although many manufacturers have powerful data systems, they often struggle to translate that data into actionable insights. This is where AVEVA PI comes into play, bridging the gap between raw data and the insights that can drive effective decision-making.
Building a Strong Foundation for Data-Driven Manufacturing
As Jarett explained, every digital transformation journey starts with a solid foundation. For data to be useful, it needs to be collected, organized, and accessible across the organization. AVEVA PI does just that, handling massive volumes of data from various sources like SCADA, PLCs, and DCS systems and transforming it into a centralized, streamlined hub.
But let’s face it—collecting data is just one piece of the puzzle. The real challenge is taking vast amounts of data and making it meaningful. Jarett highlighted a sobering fact: 43% of companies that collect data struggle to make it accessible and actionable for users. Imagine a tangled web of sensors, machines, and software all capturing data, yet no one can use it effectively. This is where AVEVA PI’s unique tools come into play.
Features like Asset Analytics in AVEVA PI help companies turn data into key metrics—like Overall Equipment Effectiveness (OEE) and asset availability—that are immediately valuable for operators, supervisors, and decision-makers. These metrics provide insights that can be scaled up from individual equipment to the entire enterprise, helping companies make informed decisions at every level.
AVEVA PI is crucial for monitoring events and tracking historical data, simplifying the diagnosis and prevention of future issues. With functions like Event Frames, users can set conditions—like machine downtime—triggering alerts and capturing essential data. This feature acts as a time capsule, showing what happened, when, and why, which aids in troubleshooting and planning. In manufacturing, where time is critical, it helps quickly identify and resolve problems. For instance, an operator can receive alerts if a machine shows signs of stalling, enabling immediate action to reduce downtime.
Finally, AVEVA PI Vision offers a user-friendly, drag-and-drop dashboard that makes data accessible to everyone, regardless of technical expertise. Jarett demonstrated how operators and managers alike can easily build dashboards with real-time data feeds, enabling monitoring key metrics, setting up alerts, and even comparing performance across different assets or locations. The dashboard is fully customizable, allowing teams to focus on the most important information.
Embracing Data-Driven Transformation
In manufacturing, the true power of data lies in the actionable insights it delivers. With AVEVA PI, organizations can cultivate a data-driven culture, empowering everyone—from factory workers to executives—with the tools to make smarter, faster decisions. Ready to see the possibilities? Our on-demand webinar explores how AVEVA PI can drive transformative results in manufacturing operations, helping you put your data to work.
Want to See AVEVA PI in Action? Watch the Webinar
On-Demand
If you want to unlock your data’s full potential, our AVEVA PI webinar is available to watch anytime. Whether you’re just starting with data or are a seasoned professional, this session offers insights for everyone aiming to build a more connected, responsive, and data-driven operation.