Improve Asset Reliability with Predictive Maintenance

In today's industrial landscape, water management facilities face mounting pressure to optimize asset performance while meeting increasingly stringent sustainability targets. Equipment failures don't just disrupt operations—they can lead to costly downtime, environmental compliance issues, and significant resource waste.

Discover how data-driven predictive maintenance is revolutionizing asset reliability in the water industry.

This comprehensive webinar from TrendMiner Software demonstrates practical strategies for implementing predictive maintenance solutions that deliver measurable results. Whether you're managing industrial pumps, treatment systems, or distribution networks, you'll learn how to:

• Prevent costly equipment failures before they impact operations
• Extend asset lifecycles through proactive maintenance strategies
• Achieve sustainability goals while maintaining operational efficiency
• Leverage data analytics to make informed maintenance decisions

What You'll Experience

Join industry experts as they walk through real-world challenges facing water facilities today, followed by an in-depth demonstration of predictive maintenance techniques applied to critical pump assets. This 46-minute session combines theoretical foundations with practical implementation insights, making it invaluable for:

• Operations Managers seeking to reduce unplanned downtime
• Maintenance Teams looking to optimize resource allocation
• Sustainability Leaders working to meet environmental targets
• Asset Managers focused on maximizing equipment ROI

Ready to transform your approach to asset management? Watch the full webinar below to see how predictive maintenance can drive both reliability and sustainability in your water operations.

This webinar was originally presented as part of the WaterLab series, focusing on innovative solutions for the industrial water sector.

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About the Speakers

Charlotte Fischer is a Customer Success Manager at TrendMiner where she helps companies and software users become successful with their self-service analytics programs. She previously was a project engineer at Blücher GmbH, where she specialized in water treatment with activated carbon. Charlotte earned a master’s degree in Biochemical Engineering at TU Dortmund and an MBA with a focus on Process, Quality, and Digital Change Management at FOM Cologne.

Louis Nitzschke is a Data Analytics Engineer at TrendMiner and part of the Customer Success team in the DACH region. He utilizes his degree in chemical and bioprocess engineering to support users along their analytics journey. He wants to help customers to use data for a more sustainable future and has focused specifically on water and wastewater treatment use cases.

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