An intensive one-day seminar for managers and decision-makers
In one day, gain a 360° view of the challenges and levers to transform your data into a strategic asset. Join our seminar designed to give you the keys to data modeling, governance, and quality.
Led by industry expert Jerome Capirossi, this intensive day will provide you with a practical and actionable framework to steer the valorization of data within your organization.
Target Audience
This one-day seminar is particularly suitable for:
- Business or IT managers and decision-makers.
- Project managers wishing to integrate a robust data dimension.
- Enterprise Architects.
- Future or current Chief Data Officers, Data Managers, and Data Stewards.
- Anyone responsible for initiating or accelerating a data governance initiative.
Dates, formats and price
| October 2025 Virtual 1 day 9 AM to 5:30 PM October 6th Price – 800 € HT | November 2025 On-site 1 jour 9 AM to 5:30 PM November 28th Price – 1 000 € HT |
For on-site seminars, the registration fee covers training costs, breakfasts, lunches, and coffee breaks.
Registration
Registration form : form
For specific needs, such as an internal company seminar, please contact contact[@]unexx.eu
Prerequisites
No formal prerequisites are necessary. A familiarity with the challenges of digital transformation is a plus.
Benefits of Attending
By the end of this day, participants will be able to:
- Understand the strategic value of data for the digital enterprise.
- Acquire the fundamentals of modeling to effectively dialogue with experts.
- Define a data governance framework by identifying essential roles and processes.
- Grasp the challenges of data quality and know how to link requirements to business use cases.
- Obtain a clear roadmap to start or professionalize data management within their scope.
Agenda for the Day
Morning Session: From Strategy to Data Definition
- Session 1: Data at the Heart of the Digital Enterprise
- The value of data and its contribution to company success.
- What is a digital enterprise and why does it rely on data?
- Session 2: Introduction to Data Modeling
- Understanding business concepts through an ontological approach (objects, relationships).
- Identifying the main types of data: master, operational, decisional.
- The role of the data lifecycle in business processes.
- Session 3: The Data Dictionary, a Common Language
- Why and how to build a business glossary?
- Linking business meaning to the technical representation in systems.
- Session 4: Implementing Data Governance
- Principles and approach of a governance project.
- Key roles and responsibilities: Data Owner, Data Steward, Chief Data Officer.
- The governance committee: an essential steering body.
Afternoon Session: Implementing Governance and Quality
- Session 5: Driving through Data Quality
- The dimensions of quality (Accuracy, Completeness, Coherence, etc.) and their importance.
- Defining quality requirements adapted to the use case and value of the data.
- Introduction to data quality incident management.
- Session 6: Action Plan and Success Factors
- How to initiate a pragmatic approach.
- Common mistakes to avoid.
- Summary and development of your personal action plan.
- Session 7: Study case