Ce cours apparaît dans les formations suivantes :
• IÉSEG > MSc in Big Data Analytics for Business > Semester 1 > 1,00 ECTS

Pré requis

The participants should have a basic understanding of the basic organisational aspects and IT knowledge

Objectifs du cours

At the end of the course, the student should be able to:
- have a clear knowledge of business intelligence, and big data concepts and tools for storage, retrieval and analysis
- understand the big data problematic in a variety of industries

These competencies and/or skills contribute to the following learning objectives
- 1.B Successfully collaborate within a intercultural team
- 3.C Organize change management processes
- 5.A. Predict how business and economic cycles could affect organizational strategy

Contenu du cours

• Information Systems with Data
• IT Strategy
• IT Building & Lean IT
• IT Piloting & Change Mgt
• BI & Big Data focus
• Business Intelligence
• Big Data
• Collaborative solutions & Knowledge Management
• Meeting with Capgemini experts
• Data Cube demonstration with India + Q&A
• Aerospace defense & Big Data with Capgemini Toulouse + Q&A
• Visits around Data Management
• Euratechnology visit
• Capgemini visit and meeting with a Big Data project Manager
• Meeting with a Start up in analytics –Merchandising.io
• Flipped-learning classes
• 6 groups of 3 to build a detailed point of view around some 2 themes :
• One Solution oriented;
• Data Gouvernance
• Analytics and data vizualisation
• MDM (Master Data Management)
• Performance Management (Finance, HR mainly)
• Hadoop Distributions (Horton works, Cloudera, MapR)
• BI Light state of art
• One Sector oriented;
• Retail
• Finance
• Defense
• Telecom
• Sports
• Politics

Modalités d'enseignement

Organisation du cours

Méthodes pédagogiques

• Case study
• Coaching
• E-learning
• Presentation
• Research
• Tutorial
• Visits/fields trips

Évaluation

Detailed instructions will be given in first class.