Processes

Plan for master data management

How plan for master data management are reshaped as AGI capability advances.

ProcessesPlan for master data management
Plan for master data management — illustrated

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How the work flows

Trigger: An enterprise initiative, system migration, or data quality audit triggers the need to standardize core business entities across the automotive organization.

  1. Assess current automotive data architecture and existing data silos
  2. Identify core data domains for vehicles, parts, and suppliers
  3. Define data governance policies and stewardship roles
  4. Evaluate and select master data technology infrastructure
  5. Formulate data quality and standardization rules
  6. Finalize and secure approval for the master data implementation roadmap

Outcome: A formalized master data strategy, governance structure, and implementation roadmap are approved for enterprise deployment.

Measured by

Data Domain CoverageGovernance Definition Cycle TimeCritical Data Element CompletenessStrategy Formulation Cost