Goal
Promoting data-driven processes and decisions while creating the optimal conditions for the productive use of Data Science.
Solution
Hosting, support, cloud migration, new implementations, and training in the field of Data Science.
Result
Establishing a Data Science & Data Engineering unit.
Challenge
They keep the city running – Stadtwerke München (SWM). To meet the ever-growing challenges, especially in energy supply, data-driven processes and decision-making are becoming increasingly important for SWM. With expanding developer teams, the company is pushing forward Data Engineering and Data Science initiatives.
To succeed, this requires not only expertise and the right mindset, but also a robust Data Science infrastructure that meets today’s demands and is ready for the future – especially in the context of critical infrastructure.

Goal
The energy sector of Stadtwerke München also aims to promote data-driven processes and decision-making. To achieve this, the goal is to create the optimal framework for the productive use of Data Science.
Solution
or several years now, the energy division of Stadtwerke München has relied on the experience and expertise of eoda. As an end-to-end provider in the field of Data Science, eoda specializes in the design, implementation, and operation of data infrastructures. As part of VIVAVIS AG, eoda also brings deep industry knowledge in the energy and utilities sector.
eoda supports SWM in areas such as:
- Hosting a central internal platform solution (based on RShiny) for providing
Europe-wide energy price scenarios – a foundation for investment decisions,
M&A activities, and corporate planning - Providing the development environment for the
“Model Munich – Geodata Base for Municipal Heat Planning” - Taking over support within an SLA framework to ensure solution stability,
improve performance, and optimize processes - Re-implementing applications during a required operating system update
- Supporting the secure migration to the cloud in compliance with SWM’s internal
guidelines, while increasing scalability - Training employees in the field of Machine Learning
Result
"With the design and implementation of our IT infrastructure, eoda has created the technical foundation for building our Data Science & Data Engineering division. The eoda team is highly competent and, within the framework of our agreed SLAs, ensures reliable operations through quick responses and proactive problem-solving. Overall, a great collaboration."
Dipl.-Ing Stephan Eidt | Leiter Fundamentale Marktanalyse | Stadtwerke München
Get started now:
We look forward to exchanging ideas with you.