Check Configuration:
  - Verify correlation rules are enabled
  - Review relationship criteria
  - Check time window settings
  - Validate data source integration

Analyze Alert Properties:
  - Verify required correlation attributes exist
  - Check timestamp accuracy and synchronization
  - Review alert normalization process
  - Confirm relationship mapping data

Problem: Alerts have misaligned timestamps
Solution:
  - Synchronize monitoring system clocks
  - Account for time zone differences
  - Implement timestamp normalization
  - Add tolerance windows for timing variations

Problem: CMDB or dependency data incomplete
Solution:
  - Update configuration management database
  - Implement automatic relationship discovery
  - Add manual relationship mapping
  - Use pattern-based correlation as fallback

Correlation Tuning:
  - Increase confidence thresholds
  - Add negative correlation rules
  - Implement relationship validation
  - Use human feedback for training

Pattern Refinement:
  - Analyze false positive patterns
  - Add exclusion criteria
  - Implement multi-factor validation
  - Use supervised learning approaches

Alert Correlation:
  - Identifies relationships between alerts
  - Maintains individual alert identity
  - Focuses on cause-effect analysis
  - Supports investigation workflows

Problem Area Grouping:
  - Groups related alerts into single entity
  - Reduces alert noise
  - Focuses on operational workflow
  - Supports response coordination

Basic Correlations: 1-2 weeks
  - Simple dependency relationships
  - Direct technical correlations
  - Infrastructure relationships

Advanced Correlations: 4-8 weeks
  - Pattern-based correlations
  - Machine learning relationships
  - Business impact correlations

Mature Correlations: 3-6 months
  - Seasonal pattern recognition
  - Complex multi-factor relationships
  - Predictive correlation capabilities