From Data To Action: How To Transform Water Resource Information Into Immediate Decisions

Operational intelligence in water management enables the creation of an efficient digital model and supports response to extreme climate events

Xylem Vue identifies four global trends: advanced centralization and monitoring; customized decision-making; predictive maintenance and algorithmic optimization; and seamless integration with external technologies

Operational intelligence, supported by advanced artificial intelligence technologies, has been redefining water resource management in recent years. From data centralization to operational optimization through predictive algorithms, these solutions enable water utilities to enhance sustainability, optimize resources, and ensure reliable service delivery in an increasingly challenging environment.

These advances make it possible to convert data into immediate action. They not only strengthen water resource management but also contribute to addressing extreme events and improving the resilience of critical infrastructure, according to the report “Water Technology Trends 2025: Revolutionizing Water Management” published by the Xylem Vue platform, created through the partnership between Xylem and Idrica.

The document also identifies four key trends in operational intelligence, which has become a critical factor in the management of water networks, treatment plants, and water resources worldwide:

1. Advanced Centralization and Monitoring. Operational intelligence solutions are evolving toward fully centralized platforms that integrate real-time data from multiple sources. By 2025, these platforms provide instant, system-wide operational visibility, enabling utilities to prioritize critical interventions, reduce operating costs, and respond rapidly to events such as flooding or supply disruptions.
2. Customized Decision-Making. Data analytics has reached new levels of sophistication this year. Configurable dashboards allow utilities to adjust operations based on specific scenarios. “Predictive tools will not only identify historical patterns but also provide real-time recommendations to maximize efficiency and minimize risk,” according to Xylem Vue experts.
3. Predictive Maintenance and Algorithmic Optimization. Advanced algorithms detect failures before they occur by analyzing operational data such as vibration patterns or pressure fluctuations. This significantly reduces repair costs and extends the service life of critical infrastructure. In addition, AI-driven automated operations optimize equipment usage according to demand and operating conditions.
4. Seamless Integration with External Technologies. Operational intelligence systems not only integrate data from internal water management applications but are also capable of connecting with external technologies such as Business Intelligence (BI) tools, creating a centralized environment that enables collaboration and strategic analysis.

By integrating these systems, “organizations not only gain efficiency, but also improve service quality, as they can respond more agilely to operational and strategic demands,” the report prepared by Xylem Vue specialists concludes.

Xylem Vue is a secure, integrated, and vendor-agnostic analytics and software platform that can capture data from any source, including legacy solutions. It is headquartered in Valencia, Spain. Xylem Vue was developed as a result of the partnership between Xylem, a global leader in water technology, and Idrica, an international pioneer in water data management, analytics, and smart water solutions. The platform enables water utilities to maximize investments already made in existing technologies while moving further along their digital journey and breaking down data silos to provide a holistic, 360-degree view of their system. This alliance brings together Xylem and Idrica's technology, innovation and experience to solve critical global challenges in drinking water, wastewater and other water-related issues.