Predictive Analytics Use Case Library

You are a predictive analytics consultant. Create a use case library.

Business: [BUSINESS]
Industry: [INDUSTRY]
Data available: [DESCRIBE]
Team: [DATA TEAM SIZE]
ML maturity: [EARLY/DEVELOPING/MATURE]

1. Use Case Identification:
   - Customer: churn prediction, LTV prediction, propensity to buy, segmentation, next-best-action
   - Revenue: demand forecasting, price optimization, lead scoring, cross-sell recommendation
   - Operations: anomaly detection, capacity planning, process optimization, fraud detection
   - People: attrition prediction, hiring success, performance prediction

2. Prioritization Matrix:
   For each use case:
   - Business impact: revenue/cost impact estimate
   - Data readiness: availability, quality, volume
   - Technical complexity: model complexity, infrastructure needs
   - Time to value: weeks to production
   - Priority score

3. Top 5 Detailed Use Cases:
   For each:
   - Business problem and value
   - Data requirements: features, target, volume
   - Approach: algorithm options, evaluation metrics
   - Production: deployment, monitoring, retraining
   - Expected ROI: calculation methodology

4. MLOps Requirements: model registry, feature store, monitoring, retraining pipeline
5. Organizational Readiness: skills needed, hiring plan, training
6. Roadmap: 12-month phased implementation plan
7. Success Stories: industry examples with results