In this specific step we pull the signal up from the data level to clean and pre-process for further analysis.
After this step our signals will be fine tuned for the Different layers of the information analysis.
Since we have a clean and well established foundation at the data and signal level, our analytics methods will generate conclusive outputs to support decisions efficiently and accurately.
The output of the feature validation layer will decide if we can move forward to the information analysis layer or we must change or improve specific fields within the signal or data layers of the workflow.
Feature selection is the soul of the whole information layer. This is always an interdisciplinary field of application depending on the specific question – either the purpose of the project is an R&D or business intelligence related application.