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Data-driven Digital Twin analytics is one of the tools integrated in the Ingesys Smart SCADA software. Created using both real-time and offline data collected from a population in terms of location and technology through an integrated historian tool suite, the models can be used to analyse performance and recommend corrective actions. Machine learning algorithms track the behaviour of key components and raise alerts in the event of non-conformance. Algorithms, dashboards and reporting capabilities allow asset managers to gain insights to support decisions.