We employ a wide array of methodologies and techniques to handle diverse problems.

Data Mining
Classification and Regression Trees
Clustering including Latent Clustering
Exploration and Data Visualization
Predictive Models

Demand Modeling and Analysis
Price Elasticity Estimation
Sales Analysis
Willingness-to-Pay Calculations

Economic Modeling
Latent Variable Models

Regression Models including:
Logit and Probit Regression Models
Ordinal Regression Models
Poisson Regression Models

Forecasting
Sales Forecasting Systems
Time Series Analysis
Strategic Views

Market Research Techniques
Attribute Importance Analysis
CHAID and CART Analysis
Customer Profiling

Discrete Choice and Conjoint Models
Market Segmentation
Paired Comparison Analysis
Perceptual Maps

Multivariate Analysis
Principal Components and Factor Analysis
Correspondence Analysis
Cluster Analysis
Multivariate Regression

Data Analytics Corp. can also write and conduct surveys online and produce extensive reports on research findings.