Setting Up Data Validation Rules

Project Deku integrates with Great Expectations to provide comprehensive data validation and quality assurance for survey data.

What is Data Validation?

Data validation ensures survey data meets quality standards through automated checks for: - Completeness: Required fields are populated - Accuracy: Data values are within expected ranges - Consistency: Related fields align properly - Format: Data follows expected patterns and types - Business Rules: Domain-specific validation requirements

Validation Setup Process

1. Enable Validation for Your Project

Navigate to Project Settings > Data Validation and enable "Automated Data Validation".

Configure validation settings: - Validation Frequency: Per-submission or batch processing - Failure Handling: Continue, warn, or halt on validation failures - Notification Settings: Alert recipients and channels

2. Create Validation Suites

Automatic Suite Generation

Project Deku can automatically generate validation suites based on your data:

1. Data Profiling: Analyze existing survey data patterns
2. Generate Expectations: Create statistical expectations automatically
3. Baseline Rules: Create baseline validation rules
4. Review and Customize: Modify generated expectations as needed

Manual Suite Creation

For custom validation requirements:

1. Access Project Dashboard > Data Quality > Validation Suites
2. Click "Create New Suite"
3. Configure suite settings and expectations

3. Configure Validation Expectations

Common Validation Types

Completeness Checks - Required field validation - Minimum completion rate thresholds - Conditional field requirements

Range and Boundary Checks - Numeric range validation (age: 0-120) - Date range validation (within project period) - Geographic boundary validation

Format and Pattern Validation - Phone number format validation - Email address format validation - ID number format validation

Categorical Value Validation - Valid category values (gender, education level) - Geographic code validation - Survey response option validation

Validation Execution and Monitoring

Automated Validation Workflow

Real-time Validation - Validation runs automatically as new data arrives - Failed validations are flagged immediately - Alerts sent to configured recipients - Data quality dashboard updated in real-time

Validation Results Dashboard - Overall Data Quality Score - Validation Trends over time - Failure Analysis by expectation type - Data Source Comparison

Handling Validation Failures

Data Quality Workbench

Access via Data Quality Dashboard > Failed Validations > Review Queue

Review Interface Features: - Record details with validation context - Specific failure reasons and recommendations - In-line editing for data correction - Bulk actions for common issues

Your data validation system ensures high-quality survey data throughout your project lifecycle!