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Case study / HealthTech / Data Analytics
Health Indicators & Analytics Platform.
A field-data pipeline turning validated health records into indicators and Power BI dashboards.
Health data pipeline
Field records into usable indicators.
Process overviewOverview
A health information pipeline that transforms field data into structured indicators and interactive dashboards across geographic and demographic levels.
The challenge
Field-collected health data needed validation, transformation, and consistent disaggregation before it could support indicator monitoring.
The solution
Connect KoboCollect and KoboToolbox data to validation APIs, transform the data into analytical structures, and present indicators through Power BI dashboards.
Key features
- DPS, health zone, health area, and facility hierarchy
- Gender, pathology, geography, and indicator filters
- Fact tables for global and disaggregated indicators
- Numerator, denominator, and proportion measures
- Interactive Power BI dashboards
Architecture
Documented components and handoffs in this system.
- 01KoboCollect
- 02KoboToolbox
- 03Data validation / API
- 04Data transformation
- 05Power BI dashboard
Engineering focus
- Hierarchical disaggregation
- Analytical data modeling
- Power BI relationships
- DAX measures