Our Quantitative Expertise
At Dimensions, we suggest quantitative research to help our clients visualise the big picture. We help them use quantitative data to look for cause and effect relationships and therefore, to make informed decisions. Our researches and statisticians have years of experience in deploying mathematical & statistical frameworks that helps our client to the quantify their question or hypothesis.
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Statistician’s Tool Box
Our tool box and why is it used.
Our experienced quantitative researchers will apply these analytical techniques to the data to make it more usable by the client
Significance Testing
Understand if the difference between two variables is significant.
Correspondence Analysis
A perceptual mapping of consumers’ mind of brands in a category.
Correlation
Understanding if there is any relationship between two measures.
Regression Analysis
Understanding the nature of a relationship between two measures.
Factor Analysis
Data reduction analysis for grouping common measures.
Cluster Analysis
Identifying consumers who belong to similar psychographics.
Conjoint Analysis
Understanding how change in marketing mix impacts consumer choice.
Price Sensitivity Analysis
Identifying a price point where consumer would happily pay.
Brand Price Trade Off
Understanding the impact of brand equity on price Vs competition.