rweisssieker-xp Power BI AI Analytics Packs
Use this skill when descriptive BI is insufficient and predictive or prescriptive signals are needed.
Packs
- Customer churn prediction.
- Demand forecasting and forecast bias.
- Anomaly detection for finance, production, quality, energy, and inventory.
- Predictive maintenance and failure risk.
- Supplier risk and delivery prediction.
- Cash collection prioritization.
- Margin leakage prediction.
- Quality defect and warranty prediction.
- Lead scoring and opportunity win probability.
Output Requirements
- Include target variable, feature candidates, training grain, leakage risks, validation metric, refresh cadence, model owner, and explainability.
- Separate AI scoring pipeline from Power BI visualization.
- Flag regulated or high-impact decisions that need human review and model governance.