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.

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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.

rweisssieker-xp/powerbi-codex-plugin/tree/main/plugins/powerbi-business-intelligence/skills/powerbi-anomaly-to-explanation commit c698a96553

Frequently asked questions

npx skillmds@latest add rweisssieker-xp/powerbi-anomaly-to-explanation