We have a “tool box” with the most advanced and complex techniques for analysing data
| Experiments | Forecasting models |
|---|---|
What will the client do if...?
These methods allow to simulate the behavior (eg customer) in hypothetical situations. Are used to reveal the product attributes most valued by the client and the monetary value that would be willing to pay.
Discrete Choice Experiments, Contingent Valuation |
What will happen in the future?
These methods can predict the evolution of economic indicators in terms of probability, future values or trend.
Probit, Multinomial Logit, Time Series, Neural Networks, Business Climate Indices |
| Statistical Analysis | Multivariate Analysis |
| What is the relationship between...? Methods that go beyond the descriptive analysis: to calculate the relationships, causes, trends, assess the significance of differences rigorously. ANOVA, Multivariate Regression, Nonparametric Tests, Structural Equation Models |
How can I measure...? These methods are very useful for structuring and analysing large volumes of complex data and measure unobservable variables (competitiveness, motivation, satisfaction) Cluster Analysis, factor Analysis, Latent Class Analysis, Synthetic Indices |
We transform data into information
What for?
You can’t manage what you don’t measure
