Numérique - Systèmes d'Information

06220730 - Data analytics

Niveau de diplôme
Crédits ECTS 3
Volume horaire total 20
Volume horaire CM 20

Responsables

Objectifs

The aim of this course is to learn to manage risks, overcome competitive threats, and anticipate market opportunities, through the use of competitive intelligence tools. 
The first part of this course defines intelligence, identifies critical sources of Data, as well as demonstrates human source collection techniques. The second part introduces the student to practical analysis techniques or assessing management's thinking at a rival company. The third part outlines a framework for predicting competitors' moves and identifying their managements' blindspots.

Estimation of private study (outside of contact hours): 6 hours

DIMENSION OF SOCIAL RESPONSIBILITY

Ethics in data collection and analytics are a chapter of this course.

TARGETED KNOWLEDGE AND SKILLS 

Understand business/competitive intelligence, data analytics and their applications.
Be aware of the risk and benefits of business/competitive intelligence for companies especially in a globalized environment.
Gain knowledge of data analytics tools to apply in their future life of managers.

Use competitive data analytics and business intelligence concepts and tools to take better strategical and marketing decisions in an globalized/international perspective.

Contenu

COURSE OUTLINE

Modules
1. From data to intelligence
2. Analytical core
3. Macro perspective
4. Micro perspective
5. Blind spots
6. Strategic maps
7. Nano perspective
8. Creating & Running BI/CI operations
9. Building the BI/CI knowledge base
10. Running BI/CI Operations
11. Selecting the Right Organization Model
12. Key Intelligence Topics
13. Intelligence Sources and Collection Techniques
14. Ethics & Legalities
15. Software introduction: PowerBi

Bibliographie

EMBLEMATIC BOOKS OR RESEARCH PAPERS REGARDING THE SUBJECT OF THE COURSE

The Secret Language of Competitive Intelligence - Leonard M.Fuld - Crown Business
Early Warning - Ben Gilad - Amacom

Contrôles des connaissances

Individual grade
MCQ based on the course, 1h

Other grade(s)
Grading during class
Group work evaluation, 1h

Weight: 50% - 50%

Informations complémentaires

TEACHING METHODS
This is a case-based course.

NATURE OF MATERIALS
Presentation and videos

TEACHING INNOVATIONS AND USE OF TECHNOLOGY
Videos, elearning sessions, live sessions.

PRE-REQUISITES IN TERMS OF KNOWLEDGE AND SKILLS
Marketing and Strategy fundamentals are pre-requisites.