It consists of the renovation of data architectures and repositories, to consolidate useful, scattered and inaccessible information, which is stored both in internal and external data sources, in structured repositories. From these structured repositories, analytical models oriented to business rules are created, trained and applied that enable their projection in automatic tasks and learning with Machine Learning and AI.