„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

February 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

  1. Efficiently manage data assets in a corporate enterprise like Bayer
  2. Connect data assets for end-to-end usage and consumption
  3. Support and foster data driven-decision making
  4. 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  

     

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