The right methodology is fundamental in order to guarantee the best results in a research process. MMP not only has the more accurate sample collecting data but also it deals with the quantitative data with the most modern available statistics techniques such as:

Structural Modeling

This technique studies cause consequence relation between variables through multiple factorial analyses. For example: existing characteristics in products and services leading to clients satisfaction and loyalty, which will be source of company profits.

Neural networks

This technique provides a situation understanding through a created model extract directly from "data behavior". These characteristics combine objectiveness and precision, especially when compared to the former technique, whose test used to be made with the "available data".

Perceptual Maps and Correspondence Analysis

Technique provides understanding on of products and services labels competition behavior, which ones have more value to costumers, taking for basis two or three dimensions which have the relation between the attributes, the labels and the ideal situation.

Segmentation and Discrimination Analysis

Market and/ or individual segmentation is made through homogeneous groups formation.

Preference Analysis

Technique used to taking decision in launching a new product or reconfiguration of existing products through an evaluation of preferences among distinct configurations, real or hypothetical ones.

Regression Analysis

Technique estimates an equation providing an answer prevision to a certain situation, through variables that explains the question.

Correlation and Variation Analysis

Technique verifies whether there is a difference or a significant correlation among two or more groups.

Time Series Analysis

Technique modulates future data from data series occurring in certain periods of time.