Customer Case
Finance
Home · Customer Case · Financial System
Finance
case 1
Personal Credit Scoring Model Enhancement
01. Limitations of Existing Approaches
- Restricted data usage due to sensitive information in original data
- Reduced model performance and reliability from insufficient data
02. Impact of Synthetic Data Adoption
- Improved Accuracy: High-quality synthetic data generated using Differential Privacy (DP) and advanced augmentation techniques, closely mirroring original data
- Enhanced Model Performance: Credit scoring model prediction accuracy improved by 15%+ compared to baseline
- Privacy Protection: Full data utilization without exposing sensitive information
case 2
Card Transaction Synthetic Data Generation
01. Limitations of Existing Approaches
- Restrictions on card transaction data usage due to Personal Information Protection Act
- Time-series pattern loss from pseudonymization leads to degraded AI model performance
- Legal risks when sharing data with external partners
02. Impact of Synthetic Data Adoption
- Improved Accuracy: High-quality synthetic data generated using Differential Privacy (DP) and advanced augmentation techniques, closely mirroring original data
- Enhanced Model Performance: Card transaction pattern prediction accuracy improved by 20%+ compared to baseline
- Privacy Protection: Full data utilization without exposing sensitive information
