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Traditional maintenance strategies often rely on fixed schedules or reacting after failures occur. But what if maintenance decisions could be based on data instead of chance?
In this German-language webinar, Dr. Nicolas Spiegl explains how data-driven maintenance helps industrial organizations reduce uncertainty, improve asset reliability, and make more informed maintenance decisions using real operational data and risk-based analysis.
Key Topics Covered
- Why traditional maintenance approaches often rely on incomplete information
- How data-driven maintenance reduces uncertainty and improves maintenance planning
- The principles behind predictive maintenance and risk-based decision making
- How UReason’s Control Valve App and APM Studio support condition monitoring and asset performance management
- Practical examples of applying data-driven maintenance in the process industry