# Powerbi Certified Dataset Factory

> Design certified Power BI semantic models/datasets that replace many local PBIX models. Use for governed reusable semantic models, metric layers, shared datasets, endorsement, lineage, RLS, self-service enablement, and reducing duplicate expert work.

- Skill: `rweisssieker-xp/powerbi-certified-dataset-factory` (Agent Skill)
- Install (CLI): `npx skillmds@latest add rweisssieker-xp/powerbi-certified-dataset-factory`
- Raw SKILL.md: https://api.skillmd.com/api/skills/rweisssieker-xp/powerbi-certified-dataset-factory/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: rweisssieker-xp (https://skillmd.com/u/rweisssieker-xp)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/rweisssieker-xp/powerbi-certified-dataset-factory

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# Power BI Certified Dataset Factory

Use this skill when many reports should use fewer governed semantic models.

## Workflow

1. Identify candidate domain: finance, sales, customer, material, procurement, service, HR, risk, or executive.
2. Define model ownership: business owner, data owner, Power BI owner, support owner.
3. Build certified dataset contract: facts, dimensions, measures, hierarchies, RLS/OLS, refresh, sensitivity, endorsement.
4. Define consumer contract: allowed fields, certified measures, drillthrough keys, unsupported scenarios.
5. Create migration plan from local models to certified model.

## Output Requirements

- Include dataset purpose, scope boundaries, certified measures, RLS roles, refresh SLA, lineage, and deprecation plan.
- Call out where Direct Lake, DirectQuery, import, or composite model affects self-service behavior.