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AI Initiative Data Model

Purpose​

This document defines the key data entities and relationships needed to manage the AI initiative portfolio and reporting within AI Conveyor.

Key ideas​

  • Initiative — the central entity, with attributes: identifier, name, owner, stage, priority, stage gate dates, target and actual impact, and links to data and models (see initiative-entity).
  • Stage gates/Events — records of stage gate passages: date, decision, participants, artifacts.
  • Reference data — stages, priorities, business units, impact types; where needed, links to the data catalog and model registry.

How it works​

The data model provides a single source of truth for the registry and analytics. It can be implemented relationally (tables for initiatives, events, and reference data) or as entities within a corporate system. The analytics layer builds reports and KPIs on top of this model (analytics-layer).