Data Management
Manage intervention data including missions, rewards, products, punishments, and coaching
Data Management Guidelines:
- Content Quality: Pastikan data intervention berkualitas untuk hasil optimal
- Data Consistency: Gunakan format dan konvensi yang konsisten
- Active Status: Hanya data "active" yang digunakan dalam recommendations
- Backup Important: Backup data sebelum bulk operations
- Impact Analysis: Perubahan data mempengaruhi training model
- Validation Required: Test data baru sebelum production use