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Establishment
Language of instruction
English
Teaching content
MANAGEMENT OF INFORMATION SYSTEMS
This course occurs in the following program(s)
MSc in Big Data Analytics for Business
- Crédits ECTS: 1.00
Training officer(s)
J.BRUNWASSER
Stakeholder(s)
J.BRUNWASSER
Présentation
Prerequisite
The participants should have a basic understanding of the basic organisational aspects and IT knowledge
Goal
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
- 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
Presentation
• 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
• 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
Organization
| Type | Amount of time | Comment | |
|---|---|---|---|
| Présentiel | |||
| Cours interactif | 8,00 | ||
| Travail personnel | |||
| Group Project | 12,00 | ||
| Charge de travail personnel indicative | 5,00 | ||
| Overall student workload | 25,00 | ||
Evaluation
Detailed instructions will be given in first class.
| Control type | Duration | Amount | Weighting |
|---|---|---|---|
| Autres | |||
| Projet Collectif | 3,00 | 0 | 80,00 |
| Contrôle continu | |||
| Participation | 8,00 | 0 | 20,00 |
| TOTAL | 100,00 | ||