Decision making in the context of industry 4.0 is based on the collection and exploitation of data from three sources: production systems and plants, systems for the management of companies, as well as customers.
Large data volumes need to be managed in a way that is alternative to the traditional statistical approach, based on specific software architectures that make it possible to reduce management and analysis costs, to produce results quickly, possibly in real time and with greater precision and accuracy than those conducted with traditional analyzes.
In the Big Data Analytics context, Idea-Re carries out research in the field of predictive maintenance, energy production from renewable sources and management of complex water systems, including the generation of databases, data management, data storage and data protection.