OUR SOLUTIONS
Statistical Analysis
Relying on tools and techniques, statistical analysis gives the meaning to massive raw data. Generally speaking, the aim is to obtain applicable and relevant results based on the rigorous mathematical criteria.
Statistical analysis has the key role in various fields of business. Statistical analysis makes proper decision making easier. Without data analysis, it is difficult to identify target groups, the satisfaction of customers/clients, the segmentation of buyers, the effects of in-house training, marketing campaign or to realize how customers see your product or what do they think about your competitors.
The process of analysis starts with cleaning and data transformation and ends with the application of the carefully selected statistical techniques.
Significant tools from our wide spectra of techniques are:
- Regression analyses
- Survival analysis including Kaplan-Meier analysis
- Multivariate analyses (MANOVA, MANCOVA, SPANOVA, etc.)
- Conjoint analysis
- Structural Equation Modelling (SEM)
- Confirmatory and Exploratory Factor Analysis (CFA and EFA)
- Multidimensional scaling
- Cluster analysis
- Discriminant analysis
- Canonical analysis
- Nonparametric methods
- Assessment of the metric characteristics of tests
We provide to our clients data analysis in various fields: from analytics for political research and public opinion research to analysis in the areas of customer satisfaction and segmentation. Behind us is the experience of hundreds of projects that have brought our business success to our clients, and the recommendations that form the basis of our marketing.

Descriptive statistics

Inferential Statistics

Multivariate Statistics


