Killing Local KPIs: One Workforce Story Leaders Trust
Killing Local KPIs: One Workforce Story Leaders Trust
Standards, governance and ontologies for resilient people-data systems
Modern analytics and AI rely on foundations most organisations lack: shared definitions, stable interfaces and governance that can withstand new platforms and HR changes. This session explains how one company created an enterprise people-data backbone that aligns HR, Finance and IT while reducing integration waste. The speaker will cover ontology alignment, data ownership, refresh cycles, lineage, controls and vendor change management, showing the operating model and architecture choices that keep the backbone reliable as systems evolve.
This session explores
- Aligning job, skills and workforce ontologies across HR platforms.
- Establishing ownership, lineage and common workforce definitions.
- Designing refresh cycles, SLAs and failure-tolerant integration patterns.
- Managing vendor change control and minimising integration rework.
- High-level architecture and governance model sustaining the backbone.
Learning outcomes
- Understand how to stabilise workforce data across shifting HR systems.
- Learn practical methods to maintain shared definitions and standards.
- Reduce integration fragility through clear governance and change control.
- Identify architecture patterns that support analytics, AI and CSRD.
25 February 2026
15:25-15:55 CET
Christopher Shane
Global Head of HR Core and People Analytics
Value
Lens
Learning Pathways
Why this matters
Enterprises face rising pressure to deliver audit-ready workforce data for CSRD, AI governance and investor scrutiny. Yet most operate with conflicting definitions, duplicate systems and integrations that break with every vendor update. Building a coherent data backbone is now essential for accurate reporting, stable AI use cases and reducing the cost and delay associated with integration fragility.