Identify and understand external data sources
How identify and understand external data sources are reshaped as AGI capability advances.
The bottom line
Roughly 90% of the work in Identify and understand external data sources 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: The process is anchored in the 'Manage information' PCF category. With no child occupations seeded, the name and description—focusing entirely on evaluating external data sources for reliability and security—clearly indicate pure knowledge work and information processing, warranting a high digital scalar.
grounded in the economy graph · digital scalar 0.90 · digital
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How the work flows
Trigger: A data team or business unit requests new external information to augment internal datasets or support analytics.
- Define requirements for the desired external data
- Identify potential third-party vendors or public data sources
- Evaluate data accuracy, completeness, and update frequency
- Assess vendor security, privacy compliance, and authenticity
- Document data lineage and metadata requirements
- Finalize approval and record the source in the enterprise data catalog
Outcome: A prospective external data source is evaluated, categorized, and approved or rejected based on reliability and security standards.