
Managing data as an asset
Most companies consider data as a strategic asset, but they hardly manage it as such. This short program introduces principles and methods of data management covering data assets, data quality, data governance and data life cycle. This will empower organizations to create the data culture strategically needed nowadays.

Presentation of the program
Based on the Data Excellence Model developed by the Competence Center Corporate Data Quality (CC CDQ) headed by Prof. Christine Legner (HEC Lausanne – UNIL), we will discuss the concept of data assets as well as approaches to measure data quality and value. Data assets will range from traditional enterprise data to new data sources (IoT, social media, …). We will analyze data governance models and how they can be adapted to different organizational settings. The roles of Data scientists, data engineers, data managers and data citizens will be defined as well as their interconnection.
Standards, methods and processes for managing data life-cycle and data value chains will be at the heart of the discussions. Finally, the required mindset-shift in data-driven enterprises towards a data sharing culture will be presented.
Learning objectives
- Identify the data assets of a company and critically assess methodologies to measure its quality and value.
- Define the roles and responsibilities, interconnections and processes for data in the organization.
- Discuss and reflect on approaches for achieving the mindset shift around data in Data-Driven Enterprises.
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
- full dates
- 22, 23, 24 and 25 June 2026
- language
- English
- registration
- Before 21 May 2026
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Contact us
The quality of the training and the professionalism of the instructors are reflective of HEC Lausanne.

- full dates
- 22, 23, 24 and 25 June 2026
- language
- English
- registration
- Before 21 May 2026