Data Governance
Manage and protect your analytics data with Hardal’s advanced ETL and governance features
Overview
Hardal provides robust data governance capabilities, giving you complete control over your analytics data. Our ETL (Extract, Transform, Load) features ensure data accuracy, privacy compliance, and seamless integration with your analytics stack while maintaining first-party data ownership.
Key Features
Auto-PII Hashing
Automatically detect and hash personally identifiable information before storage for enhanced privacy protection and regulatory compliance
Direct Database Connections
Connect your analytics data directly to reporting tools with secure, authenticated database access for streamlined analytics workflows
Data Transformations
Process and transform your data with custom rules to meet your specific business requirements
Data Processing
Leverage server-side processing to clean, aggregate, and prepare your data for analysis
Data Governance
Hardal’s approach to data governance includes:
- Privacy-First Collection: Automated mechanisms to identify and protect sensitive data at collection time
- Configurable Retention Policies: Define how long different types of data should be stored
- Secure Access Controls: Granular permissions for who can access what data
- Audit Logging: Track data access and modifications for compliance purposes
- Regulatory Compliance: Built-in features to help meet requirements for GDPR, CCPA, and other privacy regulations
ETL Capabilities
Hardal provides powerful Extract, Transform, Load (ETL) capabilities that turn raw analytics data into valuable business insights:
- Data Extraction: Collect data from multiple sources including websites, mobile apps, and server-side events
- Flexible Transformations: Clean, normalize, and enrich data through configurable rules
- Custom Data Processing: Apply business-specific logic to your analytics data
- Efficient Loading: Optimized data loading into analytics databases with minimal latency
- Error Handling: Robust mechanisms to handle and recover from data processing failures
- Scalable Architecture: Process millions of events with consistent performance
When connecting external tools, ensure you follow security best practices and only grant necessary access permissions to maintain data privacy.