Data. It’s a gift or a curse, depending on how you use it. Industrial enterprises worldwide will generate a total of 4.4 Zettabytes (ZB) of data by 2030, so as industries produce more and more data every day, the question that leaders across companies of all shapes and sizes are asking is “how can I use this information to improve my operations?”.
To turn data into a competitive advantage, organizations need tools that not only collect and store their data but also make sense of it in real time. That’s where predictive analytics comes in. By anticipating equipment issues before they occur, industrial companies can move from reactive firefighting to proactive planning and make their operations more resilient, efficient, and sustainable. This shift is essential for staying competitive in today’s fast-evolving market landscape.
AVEVA Predictive Analytics is at the core of any successful ‘always on’ strategy. If you know how your assets will behave in the future, you can mitigate the risk of unplanned downtime and the significant costs associated with it (according to Aberdeen research, this is on average approximately $250k per hour).
In this article, we explore how AVEVA’s cutting-edge technology is helping industries harness the power of predictive analytics to drive better decision-making and long-term success.
What is Predictive Analytics?
Predictive analytics uses a combination of historical and real-time data, statistical algorithms, and machine learning techniques to predict future outcomes. In industrial environments, this means identifying patterns and anomalies in asset behaviour to identify future issues before they lead to critical failure.
Why AVEVA Predictive Analytics?
AVEVA Predictive Analytics is a proven solution used by industrial operations for over 15 years. Seamlessly interacting with AVEVA PI System, AVEVA Predictive Analytics leverages artificial intelligence and machine learning to analyse data from across the enterprise. Users can then generate instant, deep insights into their data. AVEVA Predictive Analytics creates detailed asset models and monitors them continuously to detect deviations from how those assets are expected to perform.
Key capabilities include:
- Early warning and diagnosis of asset failure
- Real-time condition monitoring
- Root cause analysis
- Integration with existing maintenance management systems
This allows maintenance teams to act proactively and manage potential issues before they escalate, minimizing unplanned downtime and extending asset life. Instead of relying on reactive or scheduled maintenance, organizations can shift to a condition-based approach, servicing equipment only when needed.
Benefits include:
- Reduced maintenance costs
- Increased asset availability
- Improved safety and compliance
- Enhanced resource planning
- Drive continuous operational improvement
Real-World Impact
Integration and Scalability
AVEVA solutions are designed to integrate seamlessly with existing control systems, data historians, and enterprise asset management tools. This ensures scalability across multiple plants and asset types, making it easier for organizations to standardize predictive maintenance practices enterprise-wide.
Conclusion
AVEVA Predictive Analytics is a key enabler of digital transformation in the industrial sector. Whatever an organization’s vision for the future, it should include predictive and prescriptive maintenance strategies to grow. By anticipating issues before they happen, organizations can boost productivity, cut costs, and maintain a competitive edge. Successful predictive maintenance strategies prioritize integrated solutions that unlock value from industrial data silos, maximize labor productivity, and drive continuous operational improvement.
As workforces evolve, the systems that enterprises use to make critical decisions should include new technologies that democratize data, enabling teams to collaborate better and giving them the confidence to make faster, more accurate decisions.
The future belongs to those who can anticipate and act. Now is the time to evolve your maintenance strategy and embrace a smarter, more connected approach to operations.
