Data Foundations Stage — Build an Intelligent Manufacturing System

Stage‑1 playbooks and quickstarts to create trustworthy tags, naming conventions, ownership, and baseline metrics for real‑time manufacturing decisions.

Playbook

Data Foundations: Tagging, Naming & Baseline Metrics Playbook

A practical, step-by-step playbook to build trustworthy tags, consistent naming and ownership, robust sampling and aggregation rules, and a repeatable baseline-collection plan. Includes a short operator-facing quick-wins list, a tag validation checklist, common pitfalls, and governance next steps so your real-time dashboards and AI pilots run on reliable data.

Playbook
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Policy

Tag Naming Convention Policy & Example Catalog

A practical policy for consistent, auditable tag names and required metadata for historians, MES, and dashboards. Includes naming rules, validation guidance, required metadata fields, a 10-item example catalog, and a lightweight change-control lifecycle to govern tag creation, modification, and retirement.

Policy
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Checklist

Data Foundations Quality Checklist (Tags, Naming, Ownership)

A practical, actionable checklist to validate IIoT/MES tag coverage, naming conventions, ownership, sampling rates, timestamps, data completeness, and basic baseline metrics for IMS Stage‑1 readiness. Each check includes acceptance criteria and remediation guidance so teams can quickly assess readiness and assign fixes.

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Template

Tag naming & data‑tagging standard template — tag creation & registry form

An interactive tag-registration template that captures a canonical tag name (built from segments), required metadata, ownership, change-control details, and MES/ERP mappings. Use it to register trustworthy, discoverable IIoT/MES tags in a data catalog and reduce naming inconsistency, duplication, and noisy signals.

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