Marketing and Market Analysis
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Marketing and Market Analysis – a dedicated software package for processing survey data
Marketing and Market Analysis was designed to streamline work with data, particularly from surveys. It contains data cleaning and preparation tools tailored to the specific needs of marketing analysis, mechanisms for verifying data accuracy and consistency, functions for calculating and summarizing measurement scales, and comprehensive visualization of results. The package also includes commonly used analytical methods for a thorough analysis of results.
Marketing and Market Analysis is add-on to Statistica and uses Statistica as its computational environment, providing access to a comprehensive range of analytical methods. |
User benefits:
- Comprehensive support in processing research results, with particular emphasis on surveys
- Automation and acceleration of analyses
- Reliability and precision of results
- Easy use and flexibility
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Key features:
Analyses
Test Wizard
ROC curves
Conjoint
Agglomeration analysis
PROFIT
Generalized PCA
Linear ordering
Bootstrap
Panel regression
Inequality metrics
Moses test of extreme reactions
DFBETAS measures for outliers
PCoA
Additional analyses
Measures for 2×2 tables
Concentration analysis
Standardized effect measures
CATANOVA
KMO and Bartlett’s test
Configurational frequency analysis (CFA)
Multivariate normality tests
Empirical distribution
Multivariate chi-square test
Equivalence tests
DEA (Data envelopment analysis)
Fractional regression
Circles and cuboids for chi2
Arellano-Bond estimator
Brunner-Munzel test
Fisher’s exact rest
Graphs
Bar chart
Sequential chart
Radar plot
Mosaic plot
Pie chart
Population pyramid
Neural network diagram
Butterfly plot
Diamond plot
Likert plot
Pyramid plot
Sensitivity plot
Violin plot
Sunflower plot
Biplot
Plot rotation
Sample preparation
Sample size
RIM weighting
Propensity score matching
Subsample splitting
SMOTE
ADASYN
Scales
Semantic differential
Rank scale
Positional scale
Stapel scale
Thurstone model
Scale reliability
Inter-rater agreement
Data cleansing and tools
Data verification
Missing data
Dummy variables
Quick recoding
Variable transformations
Value counts
Multiple responses
Saving to an Office file
Saving graphic files
Formatting a spreadsheet