„Designing a Data Mesh concept for Bayer balancing federation versus centralization in data provision, governance and maintenance for optimal use of data assets from an end-to-end perspective.“ – BAYER AG CORE | Value Stream Owner Data
Overview
| Company Name / Department |
BAYER AG CORE | Value Stream Owner Data |
| Contact Person | Patrick Leonhardt |
| Location | Leverkusen (Germany) |
| Optional remote work | Yes, in average 10 days per month on site |
| Travel expenses (own account or reimbursed by the company) | TBD |
| Housing arranged by company | TBD |
| Housing expenses (how much per month, own account or subsidized by the company) | TBD |
| Internship compensation | TBD |
| Study program | Information Systems |
| ESCF community |
Full member |
| Start date |
September, 2024 |
Company Description
Bayer is a global enterprise with core competencies in the life science fields of health care and nutrition. Its products and services are designed to help people and the planet thrive by supporting efforts to master the major challenges presented by a growing and aging global population. Bayer is committed to driving sustainable development and generating a positive impact with its businesses. At the same time, the Group aims to increase its earning power and create value through innovation and growth.
Project Description
Project description:
The challenge is to design and establish a concept from an organizational but also from a process point of view to get distributed data assets connected and usable from an end-to-end perspective. This should provide new insights across business areas and functions.
Data Mesh seems to be an approach to get that accomplished without need for massive centralization efforts while maintaining the flexibility of the different business areas.
Goals of the project:
The ultimate goal of the project is to describe how the Data Mesh concept could be applied at Bayer to
- Efficiently manage data assets in a corporate enterprise like Bayer
- Connect data assets for end-to-end usage and consumption
- Support and foster data driven-decision making
- Utilize data to establish new business models
The aspects 1) to 4) can be considered as options to be chosen from.
Deliverables:
- Architecture of data assets within Bayer (based on agreed examples) along with
- processes and
- organizational elements
to manage them according to Data Mesh Concept.
- Roadmap for implementation of the Concept.
- Description of short-, mid-, long-term benefits.
Essential student knowledge:
- General overview regarding Business Administration
- Informatics, ideally with conceptual knowledge regarding data management
- Advanced Skills in visualization of complex context
More information: escf@tue.nl
