The data from the probes was stored in an AVEVA PI historian and was directly retrieved by Visplore from there. For automated detection of leaks, dashboards in Visplore indicated the occurrence of different types of How a water supply operator halved water loss from leaks through advanced analytics and efficient anomaly validation – saving 1.2 million Euros annually. Highlights 1.2 million Euros annual savings by reducing water loss from 15% to 8% 80% reduction in work hours spent on data analysis improved decision-making for costly maintenance interventions embraced by personnel due to transparency and ease of use anomalies for all probes at a glance. For example, probes that showed drifts or jumps in their flow rates during certain night hours over the past two weeks were highlighted. Additional anomaly detection measures utilized the predictive modeling capabilities of Visplore to highlight periods when the measured flow and pressure rates deviated for too long from the predicted values. For the validation of anomalies, graphical tools made it easy for operators to compare patterns to the data of nearby probes and to search for similar events in past data in a matter of seconds. The engineers soon adopted visualization types such as advanced interactive heatmaps and pattern profile views in their workflows when they realized the potential for faster and deeper validation of anomalies.