Processes

Collect data

How collect data are reshaped as AGI capability advances.

ProcessesCollect data
Collect data — illustrated

The bottom line

Roughly 95% of the work in Collect 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: The PCF top-level category lens 'Develop, Manage, and Deliver Analytics' strongly points to digital knowledge work. The description confirms the work consists of gathering, cleaning, and formatting structured and unstructured data, which is pure information transformation executable by software and agents.

grounded in the economy graph · digital scalar 0.95 · digital

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How the work flows

Trigger: A data ingestion schedule triggers or a business analytics initiative requests specific information from internal or external sources.

  1. Identify target structured and unstructured data sources
  2. Extract data from disparate systems
  3. Clean and pre-process raw data
  4. Identify and remove duplicate records
  5. Convert data into a uniform and comparable format
  6. Load standardized data into the target repository

Outcome: Structured, uniform, and deduplicated data is successfully loaded into a central repository and is ready for analysis.

Measured by

Data Ingestion Cycle TimeData Quality ScoreDuplicate Data RateData Processing Error Rate