The emergence of new information and communication technologies puts data at the center of decisions and makes it the catalyst for the digital revolution.
The arrival of digital technology in the business world has indeed changed traditional codes and patterns. Today's computing power, combined with the high availability of electronic communication channels, impacts and will continue to impact this world. As a result, the emergence of these new open source technologies and the diversity of the technical offer make the link between technology and the functional need more complex.
Real emerging businesses linked to this new digital economy and new opportunities are opening up for companies that want to take advantage of the huge amount of data that surrounds us daily and collected intensively. The valorization of these raw and multifaceted data is today at the heart of the strategies of the companies and to constitute an expertise and a decision support in these domains becomes in fact a very sought competence.
Their mastery will provide learners with highly sought-after skills today, as well as a visibility in the labor market as a "Chief Data Officer", capable of both interfacing the technique with decision-making, automating the collection of information. data and to analyze them using tools from machine learning, data from the web and Big Data technologies. These CDOs have a transversal function in order to acquire the best knowledge of their company, whether it be services, processes, business or business issues. They are therefore at the heart of the subjects. This is in order to be able to offer tailor-made solutions and services with a customer-centric view.
Training aims :
This innovative training aims to train the specificities of positions related to Big Data, as in the case of CDO (Chief Data Officer), with a vision grouping the following points:
Transverse view: Being able to have a global view of priorities and strategies, focused on data. The acquired skills will allow to be able to discuss with the various links of the chain of treatment in order to produce an abstract vision oriented business.
Implementation: To be able to control the implementation of the chosen strategies. This control concerns the different strata that go from the genesis of the idea to its implementation.
Integrity, confidentiality and security of the data: To guarantee the integrity, the confidentiality and the security of the data throughout the chain of treatment as well as the respect of the norms and the laws in force.
Identify opportunities: To identify new market opportunities and thus increase the scope of the company and monetize the use of the data.
Data Driven Drives: Bring a digital transformation of the company's application platforms towards new data-centric approaches.
In summary, this is an innovative training to train experts and data analysis specialists, at the heart of the new digital economy, to address the issues of companies related to big data: marketing, actuarial and finance.
This training gives learners access to a wide range of professions with specific responsibilities, as in the case of CDOs, both in private companies (SMEs and large companies) and in public companies, operating in almost all sectors. activity (banking, insurance, studies and consulting, telecommunications, distribution ...). His responsibilities in terms of data quality and consistency are in line with different functions: management controller, IT director, operational and support functions managers.
Who is the training for? :
The MBA Logistics and Supply Chain Management is accessible to people holding a Bac 4.
The ESLSCA Business School Paris offers to apply throughout the year on this training program. The admission cycle of the MBA Big Data Management and Decision-Making Process begins with the study of the candidate's file (CV and application questionnaire) followed by a motivational interview.
Who is the training for?
The target audience is professionals or students from tertiary or secondary programs wishing to acquire a real operational know-how of statistical techniques, computer tools and decision support.
The MBA Big Data Management and Business Process won the Eduniversal-SMBG Innovation Award in the 2018 ranking.
The program is divided into 8 blocks of knowledge modules:
- The fundamentals :
This module makes it possible to understand data management and storage systems, the new user-oriented database solutions; columns, lines, graph, documents ...
- Database Management System
- The new NoSQL databases (Not only SQL)
- Graph-oriented databases
- Distributed and distributed systems
- The calculation
- ETL data processing (Extract, Transform, Load)
- Big Data Frameworks:
The student will study the big data technologies, the control of the architecture and the dependencies and will be able to correlate the technology with the considered problems.
- Market players
- The Hadoop stack
- Hadoop: YARN, HDFS, MapReduce
- Sql query:
- Machine Learning:
This module allows immersion in artificial learning. It will allow students to interact with the different interlocutors of big data.
- Learning and Machine Learning
- Supervised learning
- Unsupervised learning
- Predictive analysis
- Real-time data analysis
- Data classification
- Extraction of information from data (Data mining, Text mining and web analytics)
- Behavioral analysis (User tracking)
- Data analysis and scoring
- Visualization of the data
- Measurement of uncertainties on the data collected
- Data Management:
This block makes it possible to understand the life cycle of the data in the information system and its passage from one system to another. It is therefore a question of guaranteeing the integrity and the rights of access of the data all along the chain of treatment.
- The data, definition and format
- The life cycle of the data
- Data and storage
- The right of access to the data
- The security of the data
- Programming tools:
Students will learn programming tools for data processing: R, Python, Scala / Java, SQL ...
- Legal and communication complements:
This block will teach the necessary skills on communication and law related to the trades concerned:
- Legal aspects and data protection
- Real time management and management
- Case Study and Case Scenario:
The objectives of this module are based on working on the work of real-world case studies. It will be necessary to implement and orchestrate the different technologies to meet the needs expressed:
- Fraud detection
- Feeding a datalake
- Real-time message exchange platform ...
- Professional thesis:
The student will have to produce a dissertation in connection with an issue of technology watch around Big Data.
This school offers programs in:
Last updated April 25, 2018