To remember
- Predict pipe failures and blockages before they occur
- Extend asset lifespan through proactive maintenance
- Reduce operational risks and emergency repair costs
Predictive Analytics for Smarter Asset Management with AssetAdvanced, Aquadvanced, and eRIS
Unexpected failures in water and wastewater networks can lead to costly repairs, service disruptions, and compliance risks. We help you anticipate these issues before they happen through predictive analytics powered by machine learning and real-time monitoring.
Moving from reactive response to predictive insight
Unplanned asset failures are costly, disruptive, and increasingly unacceptable for water utilities under pressure to maintain service, control costs, and meet regulatory expectations. Reactive maintenance is no longer enough. We help you anticipate failures before they happen—using predictive analytics that turn operational data into actionable foresight.
A unified approach to predictive asset management
Our approach combines AssetAdvanced, Aquadvanced water networks and urban drainage, and the eRIS Data Hub into a connected predictive asset management ecosystem. By bringing together condition, performance, and operational data, utilities gain a clearer, earlier view of asset risk across clean water and wastewater systems.
Predicting failures with machine learning and operational intelligence
Machine learning–based analytics evaluate the likelihood that pipes, mains, and wastewater assets may fail, degrade, or become blocked—even when historical data is limited. These predictions are strengthened by real-time operational intelligence, such as pressure behavior, flow patterns, and system stress indicators.
Reducing stress on networks before damage occurs
Across water distribution systems, predictive pressure monitoring identifies abnormal conditions that can lead to bursts or leaks. Early alerts help you intervene before transient events cause asset damage. In urban drainage and wastewater networks, predictive insights identify early warning signs of blockages and capacity constraints, reducing the risk of overflows and environmental incidents.
Connected data that accelerates prediction and action
All predictive intelligence is powered by the eRIS Data Hub, which securely connects inspection data, sensor data, hydraulic models, and enterprise systems. By eliminating data silos and meeting cybersecurity requirements, eRIS ensures predictive analytics are based on trusted, high-quality data and delivered when it matters most.
Smarter prioritization and proactive maintenance
Together, these capabilities enable you to:
- Anticipate failures before they occur, using predictive analytics and machine learning
- Prioritize assets based on risk, combining likelihood of failure with criticality
- Reduce emergency repairs and service disruptions, through early intervention
- Optimize maintenance planning, shifting from reactive to proactive strategies
- Extend asset lifespan, by reducing stress and targeting the right assets
Building confidence through predictive resilience
By knowing where and when failures are most likely, you can act earlier, spend smarter, and operate with greater confidence. Our solution of AssetAdvanced, Aquadvanced Water Networks and Urban Drainage, along with eRIS help you move from reactive asset management to predictive resilience—so you can know it before it fails.
Learn More
Contact our experts today to discover how predictive analytics can transform your asset management strategy and reduce operational risks.
They trust us
Blockage Analysis on the Cambridge Network – Anglian Water
Anglian Water in the UK used the AssetAdvanced Criticality Module to predict and assess blockage risks across its Cambridge sewer network. By running thousands of cloud based hydraulic simulations, the utility identified its most vulnerable pipes, understood how quickly blockages escalate, and determined optimal sensor placement. The analysis delivered a clear picture of system sensitivity, enabling smarter maintenance planning and more proactive asset management powered by data driven predictive insights.
Frequently Asked Questions
AssetAdvanced uses machine learning algorithms and your existing data to calculate likelihood of failure and condition scores, enabling proactive maintenance planning.
Yes. The pressure module in Aquadvanced monitors real-time conditions and predicts transient events that could lead to bursts or breaks.
Aquadvanced urban drainage identifies early signs of blockages and optimizes operations to prevent overflows and environmental incidents.
eRIS securely integrates all operational data, eliminates silos, and accelerates deployment of predictive tools for faster results.
Absolutely. eRIS complies with strict cybersecurity standards to protect your operational and regulatory data.