powerbi-anomaly-to-explanation

name	powerbi-anomaly-to-explanation
description	Use when Power BI must explain anomalies, outliers, sudden KPI changes, margin drops, cost spikes, demand shifts, inventory changes, production losses, or cash deviations.

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.