Data solutions for energy service providers
With tailor-made data solutions, we help energy companies make their processes smarter, securely meet regulatory requirements, 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 providers, municipal utilities, and grid operators face a two-pronged challenge: they must modernize and digitize while simultaneously ensuring reliable service—both economically and in compliance with regulations. Although data is generated at every stage, its value often remains limited.
In our projects, we see that infrastructures have evolved historically rather than being strategically planned. Tools like Power BI or Tableau are available, but the strategy for their company-wide deployment is unclear. Business units want to work with data but encounter manual processes, silos, and bottlenecks caused by 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. Drawing on our extensive experience with energy projects, we assist in building robust data platforms, developing scalable reporting structures, and establishing data governance—so that business units can truly get to work. Step by step, with the goal of enabling your teams to move forward independently.
Our established solutions for energy service providers
Questions our customers have been asking
- Which use cases have the biggest 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 while maintaining security and investment protection?
- How do we create a uniform understanding of data across IT systems, roles and specialist areas?
This is how we support your energy company
- Development of a holistic data strategy with a top-down and bottom-up approach
- Use case portfolio analysis including profitability assessment
- Development of a role model for data ownership & governance
- Change enablement & organizational development for data-driven work
Our customers were concerned with these questions
- How do we combine data from SAP IS-U, EDM & CRM centrally and usefully?
- 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 network & load forecasting?
- How can cancelers be identified in good time?
This is how we support your energy company
- Integration of data strategic requirements from EDL business areas (e.g. contracting, charging infrastructure)
- Build scalable, cloud-based data platforms
- Automation of regulatory data processes including audit capability
- Implementation of monitoring, logging, and access management
Our customers were concerned with these questions
- How do we monitor grid losses, power flows or balancing group loyalty based on data and in real time?
- How do we create a 360° customer view?
- How do we identify customers at risk of termination or load peaks at an early stage?
- How do we support our departments with self-service analytics and role-based access?
This is how we support your energy company
- Development of dashboards for sales, network operations and EDL
- Implementation of advanced analytics use cases such as churn prediction, tariff effect, network utilization
- Development of self-service BI including governance and training concept
How we have already successfully supported other energy service providers
From decentralized data initiatives to building a central data strategy
We have developed a company-wide data strategy with RheinEnergie. In intensive workshops with over 25 stakeholders, the level of maturity, challenges and strategic goals were analysed. 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 by building a customer data platform
Together with evm, we have implemented a modern data warehouse in Azure that provides a consolidated 360° customer view. The basis for this was a customer-focused 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: This is how we support energy service providers on their data journey.
Define status quo & use case
Together, we develop a target image, define roles, use cases, and create a roadmap—tailored to your existing systems and strategic goals.
Modernize infrastructure
We create the technical basis with a scalable, maintainable data infrastructure.
Automate processes
Data pipelines, reporting routes and quality checks are automated—for stable data flows and consistent evaluations.
Empower teams
We’ll get your departments up to speed with data—through targeted training in Power BI, Tableau, and other tools—so you can work independently in the long term.
How energy suppliers with
Data & AI transform your organization
Predicting customer behavior at RheinEnergie
In this interview, Hendrik Arnold, Head of Data Science and Customer Intelligence at RheinEnergie, explains how churn prediction is used as an integral part of their sales and marketing strategy.
Heiner Lütjen from RheinEnergie on data strategy
In this conversation, strategy and corporate development expert Dr. Heiner Lütjen from RheinEnergie and Ben Köhler, Senior Data Consultant at taod, discuss how theoretical data work can drive practical business success.
FAQ
We work with energy suppliers, public utilities, network operators and energy service providers who want to modernize their data landscape, securely meet regulatory requirements and develop new data-driven business models.
A clear data strategy links data initiatives with corporate goals, creates transparency about roles and responsibilities, and forms the basis for prioritizing use cases in a structured manner and implementing them in a scalable way
We develop a governance model including roles for data ownership and stewardship and anchor regulatory requirements such as unbundling, EnWG and GDPR in a consistent data governance concept.
In addition to a suitable technical basis, clear technical objectives, coordinated key figures and responsibilities are needed. Only then can data-driven use cases be sustainably integrated into everyday business life.
