1. Training: Proper training of personnel involved in data entry can reduce human errors. 2. Double-checking: Implementing a system of double-checking entries can catch errors before they become problematic. 3. Automation: Using automated data entry tools and software can minimize manual errors. 4. Standardization: Establishing standardized protocols for data entry can ensure consistency. 5. Validation Checks: Incorporating validation checks that flag outlier values or inconsistencies can help identify mistakes early.
