Enterprise Data, Knowledge & Context Landscape

Enterprise Data, Knowledge & Context Landscape maps the information needed by priority decisions and workflows. It includes structured records, documents, conversations and events, together with metadata, semantic relationships, dependencies and accountable owners.

Map the data, knowledge and context needed for AI-enabled work. Connect information dependencies to business decisions, workflow boundaries and accountable ownership.

Why this matters

An application inventory does not show which meaning or source a decision depends on. A focused map makes material ambiguity, hidden handoffs and shared data constraints visible before investment.

Questions to bring to the work

• Which authoritative information is required for this decision, and what must be excluded?
• Who can resolve conflicting definitions or sources when the workflow needs an answer?

Explore this chapter

Identify authoritative and derived information assets by their contribution to consequential decisions, including AI-created indexes, context templates and evaluation sets.

Consider records, documents, conversations and events together, while preserving their different authority, consent, timing and quality requirements.

Trace inputs, knowledge, rules, exclusions and feedback around the decision so hidden interpretation and high-impact dependencies become visible.

Provide the business meaning and technical lineage needed to interpret critical assets, including owner, purpose, sensitivity, authority and freshness.

Make entity relationships and applicable rules available at use, choosing a vocabulary, graph or semantic service proportionate to the decision.

Name the owners accountable for meaning, permitted use, fitness, remediation and retirement, with distinct stewardship and custodial responsibilities.

What useful evidence looks like

• A decision-to-data dependency map naming critical assets, relationships, exclusions and feedback.
• Minimum viable metadata and ownership records for the assets that materially affect the outcome.

Move from understanding to practice

Framework source

Editorial adaptation from the supplied AIDIVE Version 1 master documents.

• AIDIVE Data Dimension Version-1.docx · D.1 Enterprise Data, Knowledge & Context Landscape; AIDIVE Data - Practices & Playbook Version-1.docx · AR-D01, AR-D02, AR-D03

Data

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