Cross-Tab's statistical data analysts review data to detect trends or patterns, thereby deriving insights and shape business strategy. Analytics services involve sophisticated analytics procedures and a wide variety of statistical methods and models. Some of the more commonly used multivariate analysis techniques include:
Multiple and Logistic Regression
Statistical Tests
Factor Analysis
Cluster Analysis and Market Segmentation
Conjoint Analysis
Discriminant Function Analysis
Multidimensional Scaling
Econometric and Statistical Modeling
We have undertaken market research data analytics for segmentation studies, concept testing, advertising-related studies, pricing studies, continuous tracks, customer satisfaction studies, churn analysis, and for several other study types.
