Turning Workforce Data into Real-Time Decisions
Turning Workforce Data into Real-Time Decisions
How integrated platforms improve speed, accuracy and accountability in workforce calls
Modern workforce platforms promise real-time, decision-ready insight, but only work when data, governance and workflows are aligned. In this session, the speaker demonstrates how integrated data, AI and automation improve staffing, scheduling, skills allocation and labour-cost control. Using one or two client case studies, the talk will show what becomes possible when data is unified and workflows are connected – and the prerequisites required for reliable, accountable decision-making at scale.
This session explores
- Real-time workforce insight from unified data, AI and workflow automation.
- How platforms support staffing, scheduling, skills deployment and labour-cost control.
- Prerequisites: data quality, shared definitions, governance and workflow alignment.
- Lessons from client case studies demonstrating measurable operational gains.
Learning outcomes
- Know which technical and governance foundations are essential for real-time decisions.
- Assess whether current HR and workforce data can support decision-grade insight.
- Identify the right questions to ask technology partners about value and usability.
- Understand how integrated workflows reduce waste and improve accountability.
25 February 2026
09:40-10:10 CET
Christian Vetter
Global Director Strategic Workforce Planning
Value
Lens
Learning Pathways
Why this matters
Many organisations still manage workforce decisions with static reports, manual extracts and delayed approvals, leading to labour waste, slow staffing choices and inconsistent accountability. As AI and automation mature, leaders want real-time visibility of capacity, skills and spend, but struggle with fragmented systems, conflicting definitions and low-trust data. This session addresses the pressing need for faster, more reliable workforce decisions supported by integrated platforms.