Leveraging the big data archive available in Amplify™, change detection analytics can be executed to detect anomalies between a baseline and data collected immediately after an event, whether that is a storm or accident. This automated approach to post-event damage identification allows an organization to better position repair crews to restore service faster.
This same change detection capability can be utilized for any time period, providing proactive insights on changes occurring on the network. This comparative data can be used for the purpose of predictive analytics.