ETL Pipelines
Extract, Transform, Load processes to standardize health data from diverse facility sources.
Batch Analytics
Periodic data processing optimized for low-resource environments with reliable insights.
Future AI Integration
Framework ready for machine learning models when sufficient validated data is available.
Data Governance
Privacy-first architecture with comprehensive data quality and standardization protocols.
Data Engineering Workflow
1. Data Ingestion
Health facilities submit data via forms or Excel uploads for centralized ETL processing.
2. Data Standardization
Automated transformation rules ensure data quality, consistency, and interoperability across sources.
3. Analytics & Reporting
Batch processing generates health equity indicators and reports for evidence-based policy decisions.
Join the Health Equity Data Platform
Sign up as a Health Data Officer to manage the system or as Health Facility Staff to contribute data.