Ce cours apparaît dans les formations suivantes :
• IÉSEG > IESEG Degree - Programme Grande École > Semester 1 > 2,00 ECTS
• IÉSEG > IESEG Degree - Programme Grande École > Semester 2 > 2,00 ECTS

Pré requis

Students should be knowledgeable about basic concepts in statistics and econometric (correlation, regression analysis, etc.). Some knowledge of SPSS package is also recommended.

Objectifs du cours

1. Have a deeper understanding of the different forecasting techniques availables;
2. Understand the use of these different forecasting techniques for sales and business forecasting;
3. Identify the relevant statistical forecast technique to perform;
4. Apply the different forecast techniques and interpret the results of statistical output

Contenu du cours

The course of Sales Forecasting focuses on three main forecasting techniques: Holt's Method, Winter's Method and Box-Jenkins (ARIMA) Methodology. Students will learn when and how to use these different forecasting techniques for sales.
To get acquainted to this, students will perform several exercices in class using the data analysis software SPSS, and solve a challenging business case in groups based on real-life data (group project).

Modalités d'enseignement

Organisation du cours

Méthodes pédagogiques

• Case study
• Coaching
• Interactive class
• Project work
• Tutorial

Évaluation

Bibliographie

• John E. Hanke and Dean W. Wichern (2009), Business Forecasting", Pearson - -

Ressources internet

• The course website will be used to make the slides of the course, class exercises, and materials for the group project available to the students.