Updated
Data science & management
16 days spread over 9 months
Updated
Managing data as an asset
Learn how to manage data as a strategic asset in the AI economy. Gain practical skills in governance, quality, and data culture using the CC CDQ Data Excellence Model, and explore how to foster data literacy and drive successful AI transformation.
training informations
Short program (FC)
duration
4 days spread over 1 month
price
CHF 5’000
language
English
location
Onsite
internationally recognized
hands-on & practical course
Presentation of the program
There is no AI without data and companies increasingly recognize that data is a strategic asset in the data and AI economy. Yet, few manage it with the same rigor as financial, human, or physical assets.
This module introduces the principles and methods of data management, including data governance, data quality, data products and data democratization. Participants learn how organizations can build the necessary structures, processes, and cultures to unlock the full potential of their data and support innovation with analytics, AI and GenAI. Drawing on the Data Excellence Model developed by the Competence Center Corporate Data Quality (CC CDQ), participants will get to know proven approaches for identifying and creating transparency around data assets, assessing their quality and business value, and defining roles and governance models for different organizational contexts.
Finally, the module addresses the people side of data and AI transformations by clarifying the expectations of different stakeholders, and by discussing how enterprises can foster data and AI literacy and a sustainable data and AI culture. Participants will practice proven change management methods in a real-world case study.
Learning objectives
- Identify and create transparency around organizational data assets, and apply methodologies to assess their quality and value.
- Define the roles, processes and operating models for data and AI in the organization.
- Explore approaches to building a data- and AI-driven mindset and culture.
Target audience
- (Future) Chief Data Officers (CDOs), senior managers and executives who are launching data initiatives.
- Business intelligence (BI) and data managers, data engineers and data architects who want to manage successful data-driven transformation.
- Data champions and executives in business lines (HR, Marketing, Operations, …) who want to become more data and analytics-savvy.
About the program
This short program Managing data as an asset was built for professionals seeking to learn about fundamental concepts and then practice them trough practical exercises. There is a strong emphasis on practical application supported by academic excellence, with the use of exercises and break-out groups, industry examples and guest speakers. The fundamental notions will be presented beforehand, then supplemented and illustrated by numerous practical exercises based on real cases .
This approach will allow the participants to deploy the concepts presented during the course as well as forging a strong analytical mindset to tackle future challenges they might face on .
our speakers
main program
Program's sessions
You can see all our open program sessions in Managing data as an asset below. Click on the session you are interested in or check the full calendar.
March
2026
open
- full dates
- 22, 23, 24 and 25 June 2026
- language
- English
- registration
- Before 21 May 2026
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The Executive Education HEC Lausanne offers more than 59 Open programs
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What are the enrollment requirements for the CAS Data Science & Management modules?
The first module is open to all without prerequisites and serves as the natural entry point to the program. The second and third modules require having previously completed the first one. The fourth module is only offered as part of the full CAS program, allowing participants to get the most out of it.
Why should data be managed as a strategic asset?
The program shows that data can create as much value as financial or human assets. You learn to identify the key data within your organization and understand its impact on performance. This awareness changes the way you steer AI-related initiatives.
How do I know if our data is reliable?
You discover methods for assessing data quality and consistency. The module helps you spot sources of errors or inconsistencies. This rigor strengthens the credibility of your analyses.
How do I set up data governance in my organization?
The program helps you define clear roles and responsibilities suited to your context. You understand how to structure processes around data and AI. This framework facilitates coordination and decision-making.
How do I succeed in a data- and AI-driven transformation?
The module addresses both the organizational and human dimensions. You work on the expectations of different stakeholders and the levers for buy-in. This comprehensive approach strengthens the coherence of your transformation.
Is this useful if I am not a data expert?
Yes. The program is designed for managers and business leaders. Concepts are explained in an accessible way and applied to real-world cases. You develop a strategic understanding without going into complex technical details.
How do I build a data-driven culture?
You explore the practices that foster transparency and information sharing. The program emphasizes data literacy and accountability. This culture supports a more relevant use of data across the organization.
How do I connect data and innovation?
The module shows how data can power analytics and AI. You learn to identify opportunities for improvement and value creation. Data becomes a driver of innovation, not just a reporting tool.
What are the terms and conditions applicable to this course ?
The Managing data as an asset course is subject to the terms and conditions available here
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tailor made advices
they speak about us
The quality of the training and the professionalism of the instructors are reflective of HEC Lausanne.
Benjamin Flachs
Former participant
select your session
March
2026
open
- full dates
- 22, 23, 24 and 25 June 2026
- language
- English
- registration
- Before 21 May 2026