The existence of new needs in the market (Big Data Hadoop) have demanded that our company has had to adapt and incorporate new infrastructures and requirements. Despite this, for this adaptation to be complete, also a new methodology is needed, that from Powerdata we call MAD, In other words: Magnetic, agile and detailed.
Must have the ability to capture all information, whether it's old data, new, structured or unstructured, etc. and must be captured very quickly without sacrificing time on expensive pre-processes.
This new methodology has to be able to ingest, to digest, produce and adapt data quickly and efficiently.
As an example, must adapt to new requirements, implement exchange controls, perform predictive analytics quickly, visual and simple. The methodology, then, must be adaptable, fast and efficient.
The methodology involves the use of sophisticated statistical methods to be able to see even the smallest details. Until now, and so many times, they worked at a group level as they were unable to work at a more precise level of detail, What to extract an analysis at a generic level did not pose problems but if we wanted to deepen this methodology it was insufficient. .
Using, therefore, this methodology that makes it possible to achieve a very precious level of detail, decisions made at the business level will be much less risky and possibly more successful than with the traditional methodology.
