Multivariate Analyses
We can
help customers leverage more information and insight into their data.
Our researchers have experience in advanced analytics including statistical
methods, discrete choice modeling and multivariate analysis. Our role
is to help customers:
- Understand changing consumer values, attitudes
and behaviours
- Track consumer dynamics at every geographic
level — from global to national to regional to local
- Identify key purchase drivers
- Uncover new target segments or niches and "white
space" opportunities.
Using
the latest software we do the following multivariate analyses:
- modeling survey tabulations/correspondence
analysis
- factor analysis
- cluster analysis
- regression analysis (including logistic regression
and discriminant analysis)
- beyond regression analysis - ridge regression,
partial least squares, structural equation modeling
- automatic interaction detector (AID) and CHAID/CART
- conjoint analysis/ trade off
- pattern analysis/market basket analysis
Please
do not hesitate to contact us for further details about the reporting,
tabulation and multivariate analyses that we can perform.
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Key Links
Case studies
International fieldwork
Customer surveys |