Collect performance data
How collect performance data are reshaped as AGI capability advances.
The bottom line
Roughly 90% of the work in Collect performance data 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 seeded child occupations, the scalar is derived directly from the process name, description ('Consolidating acquired metrics and trends'), and the APQC lens 'Evaluate process performance'. Consolidating metrics and benchmarking data is purely information processing and analytical knowledge work, placing it firmly in the digital band.
grounded in the economy graph · digital scalar 0.90 · digital
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How the work flows
Trigger: A scheduled reporting interval concludes or a specific request for operational metrics is generated.
- Identify required metrics and target data sources
- Extract raw performance data from disparate systems
- Validate extracted data for accuracy and completeness
- Normalize and standardize data formats
- Consolidate metrics into a centralized repository
- Tag and align data for historical benchmarking
Outcome: Consolidated and validated performance data is stored and formatted for historical benchmarking and analysis.