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How RWE Renewables Turned a Data Ambition Into Action

Shaping a strategy, structure and culture to make data work at scale.

RWE Renewables is embarking on the energy transition and knows that doing it right means becoming data-driven. Their strategy isn’t just about tools or platforms. It’s about helping people across the business use data to make faster, better decisions every day—and seeing real value as a result. 

Client

RWE Renewables

Services
Strategy & Consulting
Customer Experience & Design
Technology & Engineering
Data & Artificial Intelligence
Industry
Energy and Utilities
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The Imperative for Change

RWE faced challenges with fragmented systems, inconsistent reporting and limited effectiveness across its renewables operations. These issues slowed decision-making and hindered the company’s ability to put its data to work across teams, tools and time zones.

The Transformative Solution

We partnered with RWE Renewables to design the critical structures and support systems around its enterprise data platform. Our work focused on enabling adoption, ensuring governance and scaling value—without duplicating efforts already in motion. We developed a framework to prioritize use cases by impact, aligned with business leaders on ownership and stewardship, and introduced a governance model built around accountability, availability and data quality. To strengthen adoption, we launched a hands-on learning curriculum and communication strategy that empowered employees to use data confidently in their day-to-day work.

The Business Impact

RWE Renewables is now making faster, higher-quality decisions across forecasting, reporting and performance management. Manual reporting has been reduced, data products are reused across teams and trust in data has grown. Business units can now benchmark asset performance, forecast energy yield more accurately and automate high-value workflows. With a shared platform, governance model and internal training in place, the organization is better equipped to scale data use companywide.

Five high-value use cases identified
Prioritized for business value and impact on data strategy growth.
Significant annual savings
Achieved through automation and improved user experience.
Internal learning program launched
Covering AI, engineering, and visualization.
~100% metadata coverage
First data product is now fully searchable and discoverable.
First data stewards named
Stakeholders aligned on ownership to improve trust and accountability.
Passed quality checks measured
Data quality framework applied and now scaling across all products.

"Together with Sapient we made huge steps toward the goal of becoming a data driven organization"

— Deniz Sen , Head of Data, RWE Renewables

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