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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.

Managing data as an asset
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

  1. Identify and create transparency around organizational data assets, and apply methodologies to assess their quality and value.
  2. Define the roles, processes and operating models for data and AI in the organization.
  3. Explore approaches to building a data- and AI-driven mindset and culture.

Target audience

  1. (Future) Chief Data Officers (CDOs), senior managers and executives who are launching data initiatives.
  2. Business intelligence (BI) and data managers, data engineers and data architects who want to manage successful data-driven transformation.
  3. 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 .

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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 in various fields: Data. As a result, and beyond this short program in Managing data as an asset, we offer several other related programs that may be of interest to you.
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Frequently asked questions

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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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The quality of the training and the professionalism of the instructors are reflective of HEC Lausanne.
Benjamin Flachs
Benjamin Flachs
Former participant
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March 2026
open
full dates
22, 23, 24 and 25 June 2026
language
English
registration
Before 21 May 2026
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