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Unified taxonomy and auto-tagging framework for a state brand marketing estate

Leading Phase 1 of one canonical, machine-readable classification model for the state brand marketing estate, designed so each platform can adopt it without changing tools.

SectorTourism
ClientState tourism organisation
RoleAdobe Solution Architect and Tech Lead
PeriodCurrent (Phase 1)
EmployerAnchora
201020122014201620182020202220242026
Outcomes at a glance

The numbers

1canonical, machine-readable classification model
6Phase 1 deliverables, from schema to governance
0platform tool changes required to adopt it
The challenge

Where it started

  • Content classified differently across platforms in the brand marketing estate
  • No shared, machine-readable model that AI and analytics can rely on
  • A need for platforms to align without replacing their tools
Approach

How it was delivered

  1. 1Phase 1

    Foundation (current)

    Canonical model, metadata schema, cross-platform mapping, website shared-layer specification, analytics data model and governance model.

What was delivered

Scope and deliverables

  • Canonical, machine-readable classification model
  • Metadata schema
  • Cross-platform mapping
  • Website shared-layer specification
  • Analytics data model
  • Governance model
Architecture view

How the pieces connect

Architecture view: Unified taxonomy connected to Metadata schema, Website shared layer, Analytics data model, Governance model, Cross-platform mapping, Marketing platformsUnifiedtaxonomyMetadata schemaWebsite shared layerAnalytics data modelGovernance modelCross-platform mappingMarketing platforms

Simplified view of the main platform and the systems it connects to.

The result

Outcomes

  • One shared language for classifying content across the marketing estate
  • A foundation for auto-tagging and AI-ready content
  • Adoption path that lets each platform keep its existing tools

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