
Data innovation, privacy & risks
The increasing amount of data offers manifold opportunities for data-driven innovations and new business models. To benefit from these innovations, companies need to establish effective practices for data sharing in their ecosystems while coping with data privacy, ethics and risks such as the impact of GDPR.

Presentation of the program
This short program addresses data thinking and data-driven innovation as well as privacy, ethical and other risks associated with an increasing use of data. Useful tools and canvases to support data thinking will be presented and applied. Managerial blindness, ethical issues and other traps of Data Science are risks that need to be managed effectively to create a robust data-driven oriented business.
We will discuss the challenges of data sharing and data sovereignty in value-added services and ecosystems. We will conclude by providing ideas on how to make use of external and open data such as crowdsourcing.
Learning objectives
- Apply useful tools and canvases to support data thinking and identify use cases for data-driven innovation.
- Analyze data sharing needs and data sovereignty in ecosystems and identify the data platforms needed.
- Identify and manage the risks (managerial, organizational and ethical) that come with data-driven decision making.
Target audience
- Identify and manage the risks (managerial, organizational and ethical) that come with data-driven decision making.
- 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 Data innovation, privacy & risks 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
- 14, 15, 16 and 17 September 2026
- language
- English
- registration
- Before 13 August 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
- 14, 15, 16 and 17 September 2026
- language
- English
- registration
- Before 13 August 2026