Business Intelligence & Analytics Option
3rd year - Engineering School
Context and objectives
In a constantly evolving world, companies aiming to develop have an increasing need for control over a resource that is strategic to the direction of their activity: information. It needs to be identified, collected, analysed and rendered in a relevant way so as to fully optimise decision making; furthermore, this needs to be done faster than ever.
A chief technological instrument of activity management, Business Intelligence consists in putting into place, with the adapted methodologies, tools that will enable optimal and adapted use of this data. The exploitation of this information is made possible, amongst other things, through control panels of the intelligent systems used in companies. These need to be as clear as possible and adapted to the needs of decision-makers.
This option enables students to acquire all the necessary skill and knowledge useful to set up high-performance BI systems. This curriculum combines the technical, functional and managerial aspects, an intense theoretical lessons and exploration of the most widespread software solutions used on the market.
The EISTI-trained BI engineer is versatile: they can understand company professions, are an expert at retrieving data extracted from heterogeneous information systems and have perfect control of its distribution to users. To this aim, they are trained to handle different specialised market tools.
At the same time, they are able to manage phases of change initiative, to have these new systems and control panels accepted by users and also develop quality relationships by being in regular contact with them.
Attentive to the evolutions of BI software publishers, they keep up a permanent watch.
The curriculum also tackles the vital issue of Big Data.
Systems integrator: study engineer, project manager and director • Consulting: consultant, architect, technical or functional expert
- Theoretical axes of study:
- Decision-making theory
- ETL (Extract-Transform-Load) theory
- Reporting theory
- Multidimensional theory
- Datamining theory
- Technical axes of study:
- SQL applied to BI
- Decision-making systems modelling
- Decision-making systems architecture
- Online analytical processing (OLAP)
- Software :
- ETL software
- Reporting software
- Multidimensional software
- Datamining software
- Data visualisation software
- Managerial axes of study:
- V-model BI project management
- Agile method for BI project management
- BI and Big Data
- From BI to Big Data
- From Big Data to BI
- 22 weeks of internship within a company
- Business project and final study project
The Business Intelligence & Analytics Option is supported by two company chairs:
Head of the option