Any digital transformation is based on a true mastery of data flows, from their identification to their truly visible scope. Here, the digital twin reveals new reflections, as each piece of data can feed information, then knowledge and skills!

The data collection and interpretation strategy enables us to provide relevant and necessary data, whether it be “business” data from existing sources such as DOEs, or hot data collected in real time from sensors or digital twin data collection tools. This enables environmental data to be seamlessly connected with the right temporality, ensuring an accurate and dynamic representation of physical reality in the digital twin, bringing it to life. In this way, the interaction of connected objects (IOTs) within the digital twin further enriches the virtual model, enabling it to faithfully reflect current conditions in the physical environment. This constantly updated synchronization enables users to make particularly well-informed decisions, based on clear, readable and accessible analyses, where the use of the digital twin takes on its full meaning and reveals new perspectives.