Processes

Maintain master data

How maintain master data are reshaped as AGI capability advances.

ProcessesMaintain master data
Maintain master data — illustrated

The bottom line

Roughly 90% of the work in Maintain master 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 child occupations seeded, the scalar is derived from the PCF lens 'Plan for and align supply chain resources' and the process description. The work focuses heavily on 'Maintain[ing] master data,' creating a 'systematic collection of facts and figures,' and managing policies and tools. Because assembling facts, figures, and policies for inventory is purely information-based data management work performed on computers, the process sits 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 change in supply chain structures, introduction of new inventory, or a scheduled governance audit triggers the need to update distribution master data.

  1. Identify required updates to distribution and inventory parameters
  2. Gather systematic facts and figures regarding inventory distribution
  3. Update the master data plan and distribution policies
  4. Validate data inputs against governance standards
  5. Synchronize the updated master data across enterprise planning tools
  6. Audit data quality and adherence to distribution policies

Outcome: Distribution facts, figures, and governance policies are accurately documented and synchronized across enterprise systems.

Measured by

Master Data AccuracyData Update Cycle TimeDistribution Plan Error RatePolicy Compliance Rate