Methodology – Foresight

Our Methodology

We use the CRISP-DM (Cross Industry Standard Process for Data Mining) in the design of our data science models integrated in our solutions.

Sensibilization through the understanding of our clients’ problems or challenges.

Identify and comprehend the information and their data structure.

Data cleaning, data management and database integration

Design and train of the data science models to solve business problems.

Are the models solving the business problem?

Strategy execution based on the data science models.

• Multiple regression models

• Time-series models (exponential smoothing, Holt-Winters , ARIMA/SARIMA, especial models)

• Logistic models

• Decision trees

• Cluster analysis.

• Neural networks.