After the descriptive stage, after understanding what has happened and why, we reach a predictive stage. What is going to happen?


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.

Implemention plan

Real time or batch information capture for processing


Data consolidation in corporate databases for its transformation


Data process and storage in structured repositories using transformation tools or cognitive technologies


Creation, training and application of analytical models oriented to business rules


Data visualization with dashboards to ease decision-making in operational and business aspects