Not so long ago, companies struggled to store the physical information to keep record of what happened, so in the future they will have proof in case of incidents.

With the advance of technology, servers came through. The data began to be stored for many reasons: strategy, fulfill regulations o just for good practice.

Recently, Business Intelligence projects appeared. They began to analyze data to describe some behaviors (descriptive analytic). This became an usual practice for the companies.

When the storage capacity increased and became more accessible in the cloud, the concept of Big Data appears as the possibility of analyzing population data and identify behaviors, contrary to the analysis of sample data which only could infer behaviors.

The question is no longer ‘What happened?’, but ‘What’s going to happen?’. Predictive Analytics includes mathematical models, statistics, econometrics, etc.

The mathematical models must adapt and learn on its own, so we’ve incorporated machine learning.

Prescriptive analytic: It’s important to know ‘What’s going to happen?’, but also to know ‘What we should do about it?’.

Cognitive analytic: the models must learn and be trained through unstructured data like videos, audios, texts and imagines.

Bots and Artificial Intelligence: The models must make decisions on their own, Los modelos deben tomar decisiones de forma automática, automating processes with less human intervention