QUANTOS specializes in the application of statistical methods for the advanced analysis of all kinds of data. Except from descriptive statistics, some indicative techniques are:
Factor analysis on customer survey data for the extraction of information showing the underlying composite customer attitudes or stances.
Cluster analysis for the grouping of data based on similarities in certain characteristics.
Generalized Linear Modelling (GLM) for the measurement of effects on a general “response” variable (for example, logistic regression for yes/no responses).
Multiple Analysis of Variance (MANOVA) for the modelling of effects on more than one dependent variable.
Non-parametric methods for cases where the usual assumption of Νormally distributed observations or statistics is not justified.