Processes

Develop workforce analytics

How develop workforce analytics are reshaped as AGI capability advances.

ProcessesDevelop workforce analytics
Develop workforce analytics — illustrated

The bottom line

Roughly 85% of the work in Develop workforce analytics is information-shaped — already within reach of AI delivery. The question here is not whether it shifts, but which tasks go first and who staffs the residual.

Why: With no child occupations seeded, this scalar is derived from the PCF lens 'Manage employee information and analytics' and the process name 'Develop workforce analytics'. The core activities—gathering workforce data and generating analytics for stakeholders—are purely information transformation tasks, placing this firmly in the digital band.

grounded in the economy graph · digital scalar 0.85 · digital

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How the work flows

Trigger: A stakeholder requests specific workforce insights or a scheduled organizational reporting cycle initiates.

  1. Gather and prioritize stakeholder analytics requirements
  2. Identify necessary workforce data sources and metrics
  3. Extract and cleanse data from HR and operational systems
  4. Develop statistical models and data visualizations
  5. Validate data accuracy and analytical findings
  6. Publish dashboards and present insights to stakeholders

Outcome: Workforce data is transformed into validated reports, dashboards, or predictive models and delivered to decision-makers.

Measured by

Analytics Turnaround TimeData Accuracy RateStakeholder Satisfaction ScoreReport Utilization Rate