The Challenge

As the largest service provider in the Swiss energy market, Enersuisse AG supports energy supply companies (EVUs) across the entire process chain, from the metering point to the consumer. With over 190 employees, modern expertise, and innovative solutions, the company actively contributes to the digitalization and efficiency improvement of the energy sector.

However, the framework conditions have changed drastically:

• From 600,000 to 21 billion data points: With smart meters, data volumes are rising from annual readings to real-time data collected every 15 minutes—amounting to around 21 billion measurements per year. This marks a paradigm shift in the energy sector.

• From wallflower to showbird: The energy industry has become colorful, dynamic, and a focal point of attention. Customer interactions are more frequent, intense, and complex.

• Critical requirements: Enersuisse needed to simultaneously create transparency across data flows, prepare the organisation for scalable data products, and reduce implementation effort for use cases.

To remain competitive, a holistic data strategy was essential.

The Approach: The 4Q-Model

Enersuisse chose to work with Navique and adopt its 4Q model, a framework that gives equal weight to value creation, technology, governance, and organisation. The goal was to build a modern data and analytics culture that accelerates innovation and actively supports utility partners in their digital transformation.

• Value creation: Introduction of data domains, enabling fast time-to-analytics through focused implementation of use cases with data products aligned to business objectives, and fostering a deeper understanding of processes and data flows.

• Technology management: Development of a data lake on a modern cloud architecture with SAP connectors, disaster recovery and backup, and the introduction and continuous automation of deployments.

• Governance: Introduction of data governance, including a role concept aligned with use cases, an information security and data protection (ISDS) framework for the platform and data and analytics products, and the implementation of an authorization concept.

• Organisation: Empowering business units with data competence through training, establishing clear responsibilities, including an operating model and processes (TOM), and strengthening company-wide transparency for projects.

The Method: The Process Along the 4D-Phases

The transformation process followed the 4D phases Discover, Design, Develop, Deploy which guide Enersuisse from strategy to operational implementation.

Discover – Creating clarity

• Definition of the desired value creation for data and analytics along the company values

• Inventory of the existing technology landscape and identification of the main weaknesses

• Design of an overarching architecture, principles, and processes for future data capabilities in the four strategic quadrants

Design – Designing solutions

• Conceptualization of a cloud data architecture independent of any specific platform

• Development of blueprints for various data and analytics products

• Definition of information security and data protection requirements, including legal and regulatory obligations, and development of an ISDS framework

Develop – From MVP to Go-Live

MVP

• Development of data products for use cases such as meter-to-cash, billing, mail triage, chatbot, and reporting

• Building a secure, scalable data platform based on open-source technologies, deployed on Microsoft Azure

Go Live

• Industrialization and expansion of the platform with additional data products, automation, and self-service capabilities, consistently aligned with the overarching objectives

Deploy – Ensuring sustainability

• Support and maintenance through Navique Site Reliability Engineering (SRE) services, providing assistance during the operational phase after a successful project

• With SRE, we conduct in-depth problem analysis, develop measures following security events, and handle operational topics such as monitoring, reporting, and release management

The Result: Measurable Success for Enersuisse

• Time to Market: Shorter project phases and lower costs through predefined deliverables.

• Focus on governance: Responsibilities were clarified early and embedded within the organization

• Cultural change: Business units take ownership of their data products and self-service becomes a reality

• Synergies and scaling: Reusable data products and modern cloud technologies reduce costs

• Sustainable data and analytics culture: Vision, strategy, technology, and organisation work together seamlessly