# Powerbi Anomaly To Explanation

> Use when Power BI must explain anomalies, outliers, sudden KPI changes, margin drops, cost spikes, demand shifts, inventory changes, production losses, or cash deviations.

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

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# Power BI Anomaly to Explanation

Use this skill after an anomaly is detected or suspected.

## Explanation Pattern

- Detect: metric, period, entity, threshold, baseline.
- Segment: product, customer, supplier, plant, channel, account, region, owner.
- Decompose: mix, price, volume, cost, timing, currency, one-time event.
- Validate: source totals, postings, data quality, late records.
- Explain: top drivers and confidence.

## Output Requirements

- Include anomaly definition, baseline, driver contribution, confidence, and validation status.
- Flag data-quality anomalies separately from business anomalies.