How can data science be successfully introduced in a company?

Primeo Netz AG unlocks the potential of artificial intelligence in the energy transition with eoda!

How does an energy supplier succeed in strategically anchoring data science and creating concrete added value for the energy transition? In this case study, eoda shows how Primeo Netz AG developed a company-wide data science vision together with the experts from eoda, identified over 30 relevant use cases and implemented an AI pilot for forecasting PV feed-ins within two months. Find out how a structured approach - from inspiration to productive implementation - enables the transformation to a data-driven company and actively addresses the challenges of the energy future.

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Goal

Primeo Netz AG wants to strategically position itself in the field of data science in order to successfully meet the challenges of the energy transition.

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Solution

From vision to productive use: the experienced eoda data science consultants were able to significantly increase Primeo Netz AG's AI maturity level in a short space of time.

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Result

With eoda, Primeo Netz AG has developed the data science solution module, generated tangible added value and laid a strong foundation for future AI initiatives.

Challenge

With over 600 employees, Primeo Energie reliably supplies customers in Switzerland and France with energy. Primeo Netz AG serves the grids business area - from the transportation and distribution of electricity to the provision of grid-related services and e-mobility.

Increasing volatility due to the expansion of renewable energies and the growing importance of e-mobility in particular call for new solutions in the energy industry. To meet the challenges of the energy transition even better, Primeo Netz AG would therefore like to become more data-driven and establish the Data Science / Big Data division.

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Goal

Primeo Netz AG wants to successfully position itself strategically in the field of data science in order to be able to develop data as a solution component in the energy transition.

Solution

To achieve this goal, Primeo Netz AG relies on the data science empowerment of eoda GmbH. With this established approach, the analytics experts at eoda support companies from the idea of generating added value from data through to the first exemplary AI solutions.

Meilensteine Data-Science-Empowerment

The milestones of data science empowerment at Primeo Netz AG:

Knowledge transfer and impulses:
Artificial intelligence and the potential and risks associated with it are the most influential technology topic of our time. This makes it all the more important to create a uniform basic understanding as early as possible. The background, fields of action, opportunities and risks of artificial intelligence were explained to Primeo Netz AG employees in a comprehensive keynote speech. This uniform knowledge base is the breeding ground for all further initiatives.

Development of the data science vision:
Successful data-driven processes rarely end at the department door and data-supported decision-making does not stop at the next hierarchical level. This makes it all the more important to give this company-wide change process a target image - in the form of a clear vision for the topic of data science. Together with the management of Primeo Netz AG, the experts from eoda identified the most important future topics in a workshop at and combined them into a common vision.

“We keep our data easily accessible and use it responsibly as the foundation for an efficient, secure grid, a convincing customer experience and the active shaping of the energy transition.”

Data-Science vision of Primeo Netz AG.

Further milestones in data science empowerment at Primeo Netz AG

Development of the data science roadmap: Based on the future topics and with the vision as a target image, eoda has developed the data science roadmap for Primeo Netz AG for the next few years, which shows those responsible concrete recommendations for action and milestones on the way to achieving their vision.

Identification of the most important use cases

Identifying and analyzing potential use cases is the foundation for successful AI projects. In this phase, it is important to examine the business value and analytical feasibility of AI use cases as well as the given framework conditions (legal situation, data protection, ethics, etc.) and the resulting costs.

As part of an AI use case workshop, those responsible at Primeo Netz AG worked with eoda to identify over 30 relevant use cases and prioritized five of them as particularly promising.

Based on an initial elaboration using the Data Science Canvas, eoda further specified the evaluation of the use cases and developed initial approaches and solutions.

Deep dive for selecting the right use case

The prioritized use cases were further specified in the deep dive workshop. Using a set of key questions, the necessary information for the successful implementation of the use cases was determined and information gaps were identified at an early stage. The key questions relate, for example, to the target variables, the subsequent users and the integration of the possible results into the work processes. The deep-dive workshop allows a reliable assessment to be made as to whether it makes analytical and economic sense to transfer a prioritized use case to the pilot phase and thus to implementation.

This approach significantly increases the probability of success of data science projects for Primeo Netz AG in the pilot phase and avoids time-consuming and cost-intensive development of unsuitable use cases. In addition, the pilot phase can be better planned and there is transparency about what still needs to be clarified or prepared before the start of implementation.

Implementation of the AI pilot

For the most promising use case for forecasting the feed-in of renewable energies, eoda is developing an AI pilot with Primeo Netz AG within two months. This makes the enormous data science potential tangible in a specific use case, the control of grid expansion. eoda is supporting Primeo Netz AG in this phase, from data preparation to explorative analysis and modeling to documentation and presentation of results. Another concrete project: the data-based analysis of the feed-in profiles of solar power producers for optional tariff design.

Infrastructure assessment for the productive use of data science

For the productive use of AI solutions and the implementation of data-centric processes, the right IT infrastructure is required in addition to expertise and the right use cases. As part of eoda's data science empowerment, the technical infrastructure of Primeo Netz AG is also being assessed for its AI readiness and specific recommendations for action are being developed for setting up an environment that will enable Primeo Netz AG to achieve its data science vision.

Result

From vision to concrete solution: with eoda, Primeo Netz AG has developed data science as a central solution component in the energy transition, generated tangible added value and laid a strong foundation for future AI initiatives.

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Your expert on Data-Science-Projects:

Manfred Menze
projects@eoda.de
Tel. +49 561 87948-370







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