SALES FORECASTING

Code Cours
2324-IÉSEG-M1S1-MKT-MA-EI103E
Language of instruction
English
Teaching content
MARKETING
Training officer(s)
R.CHUMPITAZ
Stakeholder(s)
Ruben Chumpitaz
Level
Master
Program year
Period

Présentation

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

Organization
Type Amount of time Comment
Présentiel
Cours interactif 8,00
Travaux dirigés 8,00
Autoformation
Lecture du manuel de référence 10,00
Travail personnel
Group Project 10,00
Charge de travail personnel indicative 14,00
Overall student workload 50,00
Evaluation
Control type Duration Amount Weighting
Contrôle continu
QCM 0,50 2 20,00
Participation 16,00 1 10,00
Autres
Etude de cas 2,00 4 20,00
Projet Collectif 10,00 1 50,00
TOTAL 100,00

Ressources

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