Ensure the quality of the data collected and used by the company, solve data integration problems
Ensuring data security, managing regulatory risks, documenting data, calculations, summaries…
Updating data access rules and managing privacy features
Study the enterprise data sets that will define which data sets will be extracted and processed
Retrieve and analyze relevant data related to the company’s production process, sales or customer data.
Develop predictive models in order to anticipate the evolution of data and trends in the company’s business activity
Model data analysis results to make them readable, usable and actionable
Join the Data teams interacting with the Data Engineers and Data Analysts.
Are you still hesitating on the route to choose closest to your expectations?
A member of our DataScientest team will be happy to help you make the right choice.
Our Data Management course:
Today, companies have become aware of the quantities but above all of the potential that data represents. Managing it is therefore all the more important to ensure that it is scientifically sound and used, fully documented and transparent, and easily accessible and usable.
This high level of well-defined requirements has increased the need to become more professional in management activities, which favors rigorous verification and declaration of conformity. As a result, many new professions have emerged: data analyst, data scientist, data engineer . However, these professions could not exist without a key element: data. However, data is not free of errors, ills or manipulations; someone has to take care of its management, the Data Management referent.
The data management referent manages data assets to improve reusability, accessibility and quality. They approve data naming standards, develop consistent data definitions, and document business rules. The result is the unification of enterprise data.
The mission of the Data Management Referent is to ensure the integration of the following data:
- Naming standards
- Definitions of Entities and Terms of Reference
- Specification of business rules
- Specification of computing methods
- Criteria for data quality– and data retention
- Data sourcing
- Data Security Specification
Such an integrated view forms the basis for the shared data that is essential in data warehouses.
The Data Management referent must understand the technical issues of data integration.
He or she is generally exposed to the business world while modeling business rules, entities, and data attributes.
But how do you recognize a talented data management consultant? Technical skills are essential, but interpersonal skills, which are often overlooked, are just as important. For example, this job requires someone with the business knowledge to facilitate agreements between groups and reach consensus where possible.
- Designate a manager within the Data Stewards team who will be responsible for overseeing each of the main data domains.
- Divided into teams, the Data Stewards will be responsible for resolving data integration issues in their own domain. The results will then be passed on to data administrators and databases and integrated into the company’s data models.
- Just as there is a Data Architect for most data administration functions, there should also be a manager with data management training who determines and controls everyone’s domain.
The roles and responsibilities of the Data Management referent may vary according to the maturity of the data program within the company.
Those who are new to the organization are more focused on tasks to consolidate data from platforms and establish processes to best manage the data.
Those in companies with more mature data programs tend to focus on higher value-added tasks (data quality assurance, standards compliance, etc.).
In general, the missions of the Data Management referent are the following:
- to guarantee the quality of the data collected and used by the company
- to resolve data integration issues
- to ensure data security and manage regulatory risks
- to document data, calculations, syntheses…
- to update the rules governing access to data (confidentiality)
In summary, Data Management referents are responsible for the management and quality of all data within the enterprise and ensure that the data rules established by the data governance program are respected. By acting as intermediaries between information systems and users, they are probably the most sought-after profiles today.
Define Data Governance processes and their implementation
- Establishing Data Contracts and policies and ensuring that these are respected within the company.
- Update data mapping (collection, storage, processing, destination)
- Ensuring legal compliance and security of data manipulation
Quality control and detection of irregularities
- Maintain data quality (data cleansing, quality control, coordination of improvement actions, etc.).
- Develop monitoring indicators and create reports, KPIs to ensure the optimal functioning of data processes.
Improve data and its accessibility
- Establish a diagnosis on the data assets (value, quality)
- Educate the different teams on how to use the data so that they can take ownership and monitor their usage
Continuous control allowing to validate the blocks of competences
Oral defense before a jury of professionals.
- To obtain the certification, all blocks of skills must be validated. Possibility of validation by skill block.
The acquisition of competences is carried out through various practical work carried out in a dedicated environment and by the implementation of a continuous knowledge control.
First steps :
To follow a data management training, it is necessary to have at least a Bac+1 or 2 in mathematics or sciences. As this job involves a fairly significant part of information transmission, notions of communication and marketing will also be an advantage for the person wishing to train.
Even if the training is centered on data organization and management, mathematics remains an essential component for a good understanding of the logical principles that will be addressed. People with prior knowledge of certain statistical principles (expectation, variance, algebra…) will advance more quickly in the training and will be able to approach new concepts more easily.
These trainings are also accessible to anyone with a scientific profession, the professional qualifications being generally sufficient to develop those essential to the Data Management professions.
- A precise vision of Big Data, its challenges, its environment and its main technologies and solutions
- An understanding of the importance of data management in the company’s strategy
- A control of the temporal functioning of the data and a guarantee of its quality.
- Know-how in aligning the different business lines with the data lifecycle
- The ability to transform large volumes of different data into useful and actionable information.
- An ability to identify specific business needs and restore data to them
Once you have registered on the website, we will contact you to introduce you to DataScientest and its offers, and to discuss your background and your wishes so that they coincide with our training courses.
Then, a technical positioning test, essentially mathematics of probability/statistics and quite basic algebra, is submitted to you (level L1/L2 mathematics). This test does not sanction you in any way and only serves to position you. A member of the admissions team will contact you afterwards to inform you of the results and discuss your motivations and the relevance of your project.
Until now, you are not committed to DataScientest and may, at your convenience, not pursue your project.
The registration phase will start only after confirmation of your project. From then on, our teams will take care of organizing your Data Steward training.
Our benefits :
Of course! And who better to provide support than our trainers, who also designed the program. They are available and ready to listen to all questions, both theoretical and practical, which they will not hesitate to answer with pedagogy.
In addition, your progress will be closely monitored by our teachers, concerned about your success and your commitment. Any disconnection for an extended period of time will be notified to your cohort leader, who will immediately get in touch with you: we won’t let you down!
Finally, the manual correction of papers, exams, and support will be done by our panel of qualified teachers: the learning format has been designed so that everyone can progress at their convenience and in an efficient manner. We are deeply convinced that quality learning can only take place through personalized follow-up.
The data managers of the main CAC 40 groups affirm that communication, both oral and written, is more important for a data steward than mastery of the company’s core business.
Thanks to its position as a B2B leader in Data Science training, the company enjoys a high level of recognition among companies that entrust it with the data training of their teams. This trust is all the more reason for its diplomas to be recognized.
If you are registered at Pôle Emploi, you are potentially eligible for the AIF.
You will then be able to benefit from a grant of up to 2000€.
Whatever the case, our teams are there to guide you through the administrative procedures for registering for the various funding programs.
To find all the financing possibilities, nothing could be simpler: we have created a page dedicated to the subject!
Career: which post-training perspectives?
Mastering data has proven to be very useful in certain professions such as researchers and actuaries. Data science is of enormous benefit to them, as it is to the vast majority of quantitative professions involving statistics. Indeed, thanks to data, new doors and opportunities are open to them.
The Data Management consultant, after his Data Management training or after having practiced his profession, can become a data analyst or even a data scientist. To do so, a training of several months using the Machine Learning block is necessary and also available on DataScientest.com or on other platforms.
Otherwise, the Data Steward position can lead to other careers such as that of Chief Data Quality Officer.
A junior Data Steward can expect to earn between 30 and 35k € per year. After 8-10 years of experience, he will be promoted to Senior and will see his salary increase to 45 and 50k € per year. However, it is necessary to take into account the presence of disparities between sectors and companies.
For this new Data Management training, we do not yet have any data on the professional integration of learners at the end of the course. Indeed the first Data Management cohort starts in January 2021.
Our post-training support services
To deepen your knowledge even after the end of the training, we give access to Beta-tests to all our students / alumni. Newsletters, written by our data scientists, will also be sent to you regularly and will be a reliable source of information specific to Data.
Finally, the DataScientest community and all its alumni are constantly growing.
In order to maintain the link and maintain communication between alumni, DataScientest has created a group of alumni on LinkedIn, who will have the opportunity to exchange and share on various topics related to Data Science.
The DatAlumni community is a LinkedIn community composed of DataScientest alumni. This page will allow you to share your feedback, ask questions, give advice, get information about new technologies and much more…
In addition to this, DataScientest will be launching in the coming weeks a thrombinoscope that will allow alumni to connect with each other, it will include the company and the position of each one.
Initially, DataScientest supported the data transition of companies, allowing it to create strong links between the large groups that have ensured the expansion of our structure.
In order to make up for the lack of competent profiles, it was these same groups that suggested the creation of our offer to individuals.
This need for quality profiles is reflected in the survey we conducted among 25 of the CAC 40 groups. In spite of significant budgetary constraints, 4% of them said they would be able to reduce their Data Scientist workforce: by comparison, 28% would still seek to increase their number by more than 20% …
It is thanks to our experience with large companies that we have been able to create partnerships that guarantee the hiring of our alumni. In fact, all our partner companies guarantee to include in their processes our learners at the end of their training. Add to this our help with CVs and interviews and you will be in pole position to live the professional experience of your dreams! In addition to helping you, we are in the ideal position to do so.
During your training, monthly career workshops are organized to help you write a good data oriented CV and to train you in data science recruitment tests. You can also benefit from the personalized advice of our career team.
Depending on the sector you wish to work in, our team will be able to advise and guide you thanks to its collaboration with many companies.
To discover the list of our partner companies, click here
To find out more about DataScientest’s career support actions, click on this link