One Workforce Truth: Building Decision-Grade People Data Across HR and Finance

One Workforce Truth: Building Decision-Grade People Data Across HR and Finance

People Analytics World PAWorld mark

How leaders align definitions, controls and ownership to end duelling numbers

Creating one workforce truth is now essential as AI, CSRD and investor scrutiny intensify. HR, Finance and IT leaders will share how they establish shared definitions, controls and accountability to support planning, risk and reporting. The panel offers practical principles for reconciliation between HRIS and Finance, agreeing standards that stick, and deciding where compromise is possible – and where accuracy must be protected.

This session explores

  • How HR, Finance and IT align definitions for headcount, cost and capacity.
  • Governance models that prevent duelling numbers and support audit readiness.
  • Reconciliation between HRIS and Finance datasets at scale.
  • Standards, controls and data ownership that enable consistent reporting.
  • Where leaders agree to compromise and where accuracy is non-negotiable.

Learning outcomes

  • Know how to define shared workforce metrics decision-makers can trust.
  • Understand governance structures that ensure consistent HR–Finance reporting.
  • Apply principles for reconciling HRIS and Finance data together.
  • Identify ownership, controls and standards that scale across functions.
  • Strengthen CSRD-ready reporting through consistent data lineage.
Zurich Switzerland DACH Europe People Analytics Conference
26 February 2026
13:00-13:40 CET

Aditya Jajodia

Vice President, Head of HR, Europe Middle East and Africa

Christopher Shane

Global Head of HR Core and People Analytics

Value

Lens

Learning Pathways

Why this matters

Companies are under pressure to present accurate, timely and consistent workforce data for planning, scenario modelling, audit-grade reporting and regulatory requirements such as CSRD. Conflicting numbers undermine executive confidence and stall decisions. Organisations need shared definitions, governance and ownership across HR, Finance and IT to operate with a trusted, decision-ready dataset.

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