How Aurubis Designed a Cross-Department Sustainability Reporting Platform Through UX Research
Europe's largest copper producer needed one platform to process sustainability data across multiple departments. easy.bi conducted UX research, workshops, and iterative prototyping to design the solution architecture.
The Challenge: 6 Departments, 6 Data Formats, No Shared Reporting
Aurubis is Europe's largest copper recycler and one of the world's leading copper producers. With annual revenues exceeding EUR 16 billion, the company operates smelters, recycling facilities, and production sites across multiple countries. Sustainability isn't a marketing initiative at Aurubis - it's a core business function tied to regulatory compliance, investor reporting, and operational efficiency.
The problem: sustainability data lived in silos. Environmental impact metrics came from one department. Energy consumption data from another. Waste management, water usage, emissions tracking, and compliance documentation - each owned by a different team, stored in different formats, reported through different tools.
When leadership needed a consolidated sustainability report, the process took weeks. Analysts manually pulled data from spreadsheets, internal databases, and PDF exports. They reformatted, cross-referenced, and reconciled discrepancies by hand. A single quarterly report consumed over 200 person-hours of manual data wrangling.
Aurubis needed a platform that could ingest data from all departments, normalize it, generate department-specific and company-wide reports, and export in formats required by different stakeholders - from regulatory bodies to the board of directors.
“Every quarter, we had analysts spending weeks pulling data from six different systems and manually reconciling it in spreadsheets. One typo in a formula could cascade through the entire sustainability report.”
Why Aurubis Chose easy.bi
Aurubis had evaluated enterprise reporting tools. The challenge wasn't finding software that could generate charts - it was finding a partner who would invest time understanding how 6 different departments actually work with data before proposing a solution.
easy.bi's UX-research-first approach resonated with Aurubis leadership. Instead of starting with technology selection, easy.bi proposed starting with workshops and interviews across every department. The goal: understand the real workflows before designing anything. Aurubis recognized this as the approach most likely to produce a solution people would actually use.
“Other vendors showed us dashboards. easy.bi spent three weeks interviewing our department heads first. They understood the problem before proposing a solution - and that made the solution actually fit.”
The Approach: Research Before Architecture
The easy.bi team began with a 3-week discovery phase. Each department received dedicated workshops and individual interviews. The goal wasn't just to catalog data sources - it was to understand who needs what data, in what format, at what frequency, and why.
Stakeholder mapping and workflow documentation. The team mapped every data flow: where it originated, who transformed it, what tools they used, and where it ended up. This produced a complete picture of Aurubis's reporting ecosystem - including the informal workarounds that no one had documented but everyone depended on.
Iterative prototyping with real data. Rather than presenting a theoretical architecture, easy.bi built interactive prototypes using actual Aurubis data. Department heads could see their specific reports rendered in the proposed system. Feedback was immediate and specific: "This chart needs weekly granularity, not monthly." "We need to export this table as CSV for the regulatory filing."
Flexible data processing architecture. The designed solution handles multiple input formats - from structured database queries to semi-structured spreadsheet imports. Each department's data flows through normalization layers that preserve department-specific context while enabling cross-department aggregation.
The UI was designed following progressive disclosure principles. A sustainability manager sees a company-wide dashboard. Drilling into any metric reveals department-level detail. Drilling further shows individual data points with full provenance tracking - who entered it, when, from which source.
“When they showed our environmental team a prototype with their actual data, the feedback shifted from skepticism to specific feature requests in minutes. That's how you earn buy-in.”
The Results: A Blueprint for Data-Driven Sustainability
The research and prototyping phase delivered a validated platform design that Aurubis is now moving into development. The conceptual architecture has been approved by all 6 department heads - a milestone that Aurubis's internal team noted had never been achieved with previous reporting tool evaluations.
The prototypes demonstrated projected time savings of 80% on quarterly report generation - from 200+ person-hours of manual work to automated report assembly with human review. Department-specific export formats were designed to meet regulatory requirements without manual reformatting.
Beyond the immediate project, the UX research phase produced a comprehensive data governance map that Aurubis is using to improve processes independent of the platform. Understanding how data actually flows - versus how it was assumed to flow - revealed optimization opportunities across multiple departments.
“The data governance map they produced as a research byproduct was worth the engagement alone. We discovered data flows we didn't know existed - and redundancies we could eliminate immediately.”
Key Takeaways
- Research before architecture prevents expensive pivots. Three weeks of workshops and interviews cost a fraction of what rebuilding a poorly-scoped platform would have. Understanding real workflows - not assumed ones - is the foundation of effective design.
- Prototype with real data to earn stakeholder trust. Abstract wireframes generate abstract feedback. When department heads see their actual metrics rendered in a prototype, feedback becomes specific, actionable, and constructive.
- Cross-department platforms succeed through individual department value. Each department needed to see their specific benefit before supporting the broader initiative. Designing department-specific views within a unified platform achieved both goals.
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