CSRD S1 Decoded: Audit-Ready Workforce Data Strategy
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CSRD S1 Decoded: Audit-Ready Workforce Data Strategy
CSRD’s first-year deadlines leave many HR leaders scrambling to meet Finance’s disclosure requests. Drawing on an 18-month journey across Arcadis’s 36,000 employees, Ian Pinkett shows how to convert 200 pages of European regulation into board-ready, audit-ready insight—without ballooning headcount. He outlines a minimum-viable data layer, shares the maths that cuts an adequate-wage study from 36,000 to 3,600 records, and demystifies limited assurance, evidence packs and dual-materiality politics. Finally, he demonstrates how the same datasets drive reward decisions, budget planning and investor narratives, proving compliance can create genuine business value.
Why is this being discussed now?
Why is this being discussed now?
What will be covered in this episode?
What will be covered in this episode?
Why CSRD S1 workforce disclosures demand HR ownership and cross-functional stewardship.
Building a minimum-viable data foundation: definitions, prioritised metrics, lean governance.
Adequate wage methodology: benchmark selection, 10% sampling logic, audit validation.
Evidence packs, lineage documentation and managing limited assurance with Finance and auditors.
Converting compliance insight into reward, budgeting and investor value.
Five-step action playbook, first-90-day quick wins and pitfalls to avoid.
What will I learn by watching?
What will I learn by watching?
- Recognise the hidden financial and reputational risks of delaying HR leadership on CSRD.
- Translate dense legislation into clear, auditable data specifications and metric definitions.
- Design a scalable approach to adequate-wage analysis, including sampling and external benchmarks.
- Create evidence packs and lineage documentation that withstand limited assurance.
- Leverage CSRD outputs to inform reward strategy, workforce planning and investor narratives.
Join us in person:
This session features:
Ian Pinkett, Arcadis
Annual global conference for People Analytics
and Data-Driven Workforce Strategy.
15 - 16 October 2025 · Convene West 46th Street · New York
A word from the conference chair:
