Data solutions for energy service providers
We help energy companies to use customized data solutions to make their processes smarter, meet regulatory requirements securely and develop innovative business models. We are your partner for efficient digital transformation in the energy sector.
How we turn your data into a strategic resource
Energy suppliers, municipal utilities and grid operators are under double pressure: they have to modernize and digitize and at the same time deliver reliably - both economically and from a regulatory perspective. Although data is generated at all points, its benefits are often limited.
We experience this in our projects: Infrastructures have grown historically instead of being strategically planned. Tools such as Power BI or Tableau are available, but the strategy for their company-wide use is unclear. Departments want to work with data, but encounter manual processes, silos and bottlenecks due to dependencies. The key to greater efficiency, better decisions and autonomy lies in the data - when strategy, technology and people work together.
This is exactly where we provide support. With sound experience from energy projects, we support the creation of sustainable data platforms, the development of scalable reporting structures and the establishment of data governance so that specialist departments can really work. Step by step, with the aim of enabling your teams to progress independently.
Typical questions
Typical questions
- How do we identify, evaluate and prioritize use cases with the highest strategic impact (e.g. churn prevention vs. network data analysis)?
- How do we anchor regulatory requirements (unbundling, EnWG, GDPR) in a uniform data governance concept?
- Which platform architecture allows us long-term flexibility with simultaneous security and investment protection?
- How do we establish a centralized understanding of data across different IT systems, market roles and departments?
Our services
- Development of a holistic data strategy with a top-down and bottom-up approach
- Use case portfolio analysis incl. profitability assessment
- Development of a role model for data ownership & governance
- Change enablement & organizational development for data-driven work
Success stories
For RheinEnergie, we developed a central data strategy that is closely interlinked with the corporate strategy and divisional strategies and supports their implementation in a targeted manner. The strategy addresses decentralized data landscapes and promotes a company-wide self-service culture for data-driven value creation. It creates clarity about roles and responsibilities and establishes a common understanding of governance as the basis for scalable, future-oriented data usage.
Typical questions
Typical questions
- How do we identify, evaluate and prioritize use cases with the highest strategic impact (e.g. churn prevention vs. network data analysis)?
- How do we anchor regulatory requirements (unbundling, EnWG, GDPR) in a uniform data governance concept?
- Which platform architecture allows us long-term flexibility with simultaneous security and investment protection?
- How do we establish a centralized understanding of data across different IT systems, market roles and departments?
Our services
- Development of a holistic data strategy with a top-down and bottom-up approach
- Use case portfolio analysis incl. profitability assessment
- Development of a role model for data ownership & governance
- Change enablement & organizational development for data-driven work
Success stories
For RheinEnergie, we developed a central data strategy that is closely interlinked with the corporate strategy and divisional strategies and supports their implementation in a targeted manner. The strategy addresses decentralized data landscapes and promotes a company-wide self-service culture for data-driven value creation. It creates clarity about roles and responsibilities and establishes a common understanding of governance as the basis for scalable, future-oriented data usage.
Typical questions
Typical questions
- How do we identify, evaluate and prioritize use cases with the highest strategic impact (e.g. churn prevention vs. network data analysis)?
- How do we anchor regulatory requirements (unbundling, EnWG, GDPR) in a uniform data governance concept?
- Which platform architecture allows us long-term flexibility with simultaneous security and investment protection?
- How do we establish a centralized understanding of data across different IT systems, market roles and departments?
Our services
- Development of a holistic data strategy with a top-down and bottom-up approach
- Use case portfolio analysis incl. profitability assessment
- Development of a role model for data ownership & governance
- Change enablement & organizational development for data-driven work
Success stories
For RheinEnergie, we developed a central data strategy that is closely interlinked with the corporate strategy and divisional strategies and supports their implementation in a targeted manner. The strategy addresses decentralized data landscapes and promotes a company-wide self-service culture for data-driven value creation. It creates clarity about roles and responsibilities and establishes a common understanding of governance as the basis for scalable, future-oriented data usage.
Our established solutions for energy service providers
Our customers were concerned with these questions
- Which use cases have the greatest strategic impact (e.g. churn prevention vs. network data analysis)?
- How do we anchor regulatory requirements (unbundling, EnWG, GDPR) in a uniform data governance concept?
- Which platform architecture allows us long-term flexibility with simultaneous security and investment protection?
- How do we create a uniform understanding of data across IT systems, roles and specialist departments?
How we support your energy company
- Development of a holistic data strategy with a top-down and bottom-up approach
- Use case portfolio analysis incl. profitability assessment
- Development of a role model for data ownership & governance
- Change enablement & organizational development for data-driven work
Success stories
We have developed a central data strategy for RheinEnergie that is interlinked with corporate and divisional strategies. The strategy promotes a decentralized data culture and strengthens self-service and governance - as the basis for scalable, future-proof data usage.
Our customers were concerned with these questions
- How do we merge data from SAP IS-U, EDM & CRM in a centralized and usable way?
- Which platform architecture best meets our requirements for data protection, EnWG compliance and data sovereignty?
- How do we integrate external data sources (e.g. weather, price information) for grid & load forecasting?
- How can terminators be identified in good time?
How we support your energy company
- Integration of data strategy requirements from EDL business areas (e.g. contracting, charging infrastructure)
- Development of scalable, cloud-based data platforms
- Automation of regulatory data processes incl. audit capability
- Implementation of monitoring, logging and access management
Success stories
For evm (Energieversorgung Mittelrein), we have merged and harmonized data from historically grown systems and enriched it with external data. The modular data modeling approach enables future extensions, and the modern lakehouse structure forms a stable basis for AI initiatives.
Our customers were concerned with these questions
- How do we monitor grid losses, power flows or balancing group compliance based on data and in real time?
- How do we create a 360° customer view?
- How do we recognize customers at risk of termination or peak loads at an early stage?
- How do we support our specialist departments with self-service analytics and role-based access?
How we support your energy company
- Development of dashboards for sales, grid operations and EDL
- Implementation of advanced analytics use cases such as churn prediction, tariff impact, network utilization
- Development of self-service BI incl. governance and training concept
Success stories
We laid the central foundation for data-driven analyses for RheinEnergie. Data thinking workshops and structured use case development created a clear roadmap for BI applications and self-service analytics. For evm, we created a 360° customer view by setting up a customer data platform.
Our solutions for grid suppliers
Transparency about network investments & maintenance measures
We provide an overview of investment planning and maintenance - from medium voltage to local grid level. With comprehensible data and visualizations for technology, controlling and regulatory reporting.
Ensuring grid stability through intelligent processes
We support the implementation of legal requirements such as Redispatch 2.0 - with sophisticated data processes that reliably link generation, grid operation and planning.
Integration of geodata & spatial reference in BI landscapes
We integrate geodata into existing BI systems - e.g. for network expansion planning, capacity estimation or location decisions. In this way, spatial reference becomes an integral part of data-based decisions.
Reliable automation of market communication
We make market processes such as supplier changes, MaKo2024 or format changes robust and maintainable - through clean data structures, automated test tracks and clearly defined workflows.
Data-based control of grid connections
We help to structure and accelerate data-based grid connection processes for PV systems, charging infrastructure or heat pumps - with automated preliminary checks, bottleneck checks and transparent monitoring.
Cross-project reporting governance
We help you set up a consistent reporting landscape across projects and specialist departments - with coordinated key figures, clear processes and sustainable data maintenance.
How we have already successfully supported other energy service providers
From decentralized data initiatives to the development of a central data strategy
We have developed a company-wide data strategy with RheinEnergie. The maturity level, challenges and strategic goals were analyzed in intensive workshops with over 25 stakeholders. The result is a clearly structured roadmap that bundles data initiatives, defines responsibilities and enables data-driven value creation in all areas.
360° customer view through the development of a customer data platform
Together with evm, we implemented a modern data warehouse in Azure that enables a consolidated 360° customer view. The basis for this was a customer-centric data model, automated data cleansing via record linkage and the connection of all relevant source systems. The new setup creates a stable basis for future data science initiatives and data-driven decisions.
From strategy to self-service: how we support energy service providers on their data journey.
Define status quo & use case
We work together to develop a target picture, define roles, use cases and a roadmap - tailored to your existing systems and your strategic goals.
Modernize infrastructure
We create the technical basis with a scalable, maintainable data infrastructure.
Automate processes
Data pipelines, reporting lines and quality checks are automated - for stable data flows and consistent evaluations.
Empowering teams
We make your departments fit for data - with targeted enablement in Power BI, Tableau & Co. so that you can work independently in the long term.
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From a vision to an established data culture
We help you to understand data as a strategic resource - and to embed it in your existing corporate strategy. In joint workshops (e.g. data thinking, maturity assessments), we identify key use cases and structure a clear roadmap.
Typical questions
- Which data-driven use cases contribute to our goals?
- How do we anchor data governance in unbundling requirements?
- What roles and responsibilities do we need?
Our services
- Development of a holistic data strategy (top-down & bottom-up)
- Development of a governance model (incl. data stewardship)
- Prioritization of high-impact use cases
- Change management and data literacy initiatives
Example from practice
We have developed a cross-divisional data strategy for RheinEnergie - as a blueprint for the entire company.
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