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Activity & Artifact Recognition

High-yield artifacts

Artifact Recognize it by
Data Architecture Design Master blueprint describing enterprise structures/plans.
Enterprise Data Model (EDM) Enterprise concepts, relationships, rules, critical attributes across linked abstraction levels.
Subject Area Model Conceptual model scoped to one semantic subject area.
Data Flow Lineage/movement among processes, systems, stores, roles, locations, transformations.
Data Value Chain Dependency/order view showing how data produced by one capability feeds others.
Implementation Roadmap Roughly 3–5 year development path with milestones, dependencies, resources, costs, capability streams.

Activity recognition map

Establish the Data Architecture practice

Cue: frameworks, work streams, organization, culture, methods, and useful results.

Evaluate existing specifications

Cue: determine whether current documentation is accurate, complete, and detailed enough; update it.

Develop the roadmap

Cue: actual conditions + business requirements + technical assessment → target path over time.

Manage enterprise requirements within projects

Cue: scope, requirements, design, buy/reuse/build, alignment to EDM, standards, dependencies, and feedback.

Integrate with Enterprise Architecture

Cue: portfolio/application/integration planning and proactive influence on project priorities/scope.

Project-stage recognition

Stage Architecture question
Scope What enterprise model, reuse opportunity, project contribution, and downstream dependency matters?
Requirements Which entities, sources, availability, quality, pain points, and business value matter?
Design Which enterprise constructs, target specifications, standards, authoritative sources, and lifecycle rules apply?
Implement Are we buying, reusing, or building, and what mappings/gaps/standards are required?
Feed back What project knowledge should improve enterprise architecture?

Buy / Reuse / Build

  • Buy: vendor/COTS → map vendor structures; reverse engineer if needed; document gaps.
  • Reuse: existing internal capability → map common structures/processes, CRUD, authority/system of record, gaps.
  • Build: new implementation → implement agreed structures and standardized/designed integration.

Lifecycle status recognition

  • Current — supported/used now.
  • Deployment Period — planned nearer-term deployment.
  • Strategic Period — longer-horizon expected availability/use.
  • Retirement — exit/end-of-use direction.
  • Preferred — recommended broadly.
  • Containment — restrict expansion.
  • Emerging — research/pilot.
  • Reviewed — evaluated, not another status.

Governance recognition

  • oversee projects,
  • manage designs/lifecycle/tools,
  • define standards,
  • create data-related artifacts.

Metric recognition

  • Compliance: did projects follow architecture/process?
  • Implementation trends: are reuse/replace/retire and efficiency moving as intended?
  • Business value: did architecture improve agility, quality, cost, risk, or other enterprise outcomes?

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