Analytics is our methodology process model – based on the CRISP-DM Cross-Industry Standard Process for Data Mining – for adopting analytics models through data science.

The computational capacity and techniques developed in the last decade has allow new possibilities for understanding many complex adaptive systems by the provision of a new range of models to be explored.
Miller 2007

We are happy to advise organiztions that want to implement machine learning models to tackle their business problems with unconventional and innovative solutions. Analytics is a team effort between the organization and a team of experts at the Institute of Analytics in which we design (together in a shadowing manner) big data solutions. It is a journey that goes through a CRISP-DM process but have a particular emphasis in the business understanding and the impact of the technology development.

Analytics is our methodology process model – based on the CRISP-DM Cross-Industry Standard Process for Data Mining – for adopting analytics models through data science.

We love to hear new problems and be innovative enough to
augement organization’s intelligence.

Institute of Analytics, S.C.

Analytics is our methodology process model – based on the CRISP-DM Cross-Industry Standard Process for Data Mining – for adopting analytics models through data science.

We love to hear new problems and be innovative enough to augement organization’s intelligence.

We love to hear new problems and be innovative enough to
augement organization’s intelligence.