A social enterprise delivering clean cooking and clean water programmes · Build

A data foundation for clean cooking and clean water programmes

A scalable data architecture for operational, impact and carbon project reporting.

The challenge

Growing volumes of data
Operational, monitoring and impact data came in from water, sanitation and hygiene activities, clean cooking projects and maintenance records.
Inconsistent structures
Data was collected through a survey tool, but inconsistent structures and processes made quality hard to maintain.
Hard to track progress
It was difficult to follow progress over time or produce reliable insights.
Carbon traceability
The team needed a stronger foundation to meet the traceability requirements of carbon projects.

One data model keeps raw data, cleaned datasets and reporting-ready information separate, from collection through to reporting.

Audit
Audited survey design, forms, data structures and reporting workflows, and documented the gaps.
Improve collection
Worked with the team on survey design so forms captured the right information.
Build the architecture
Designed the database structures and built end-to-end pipelines for ingesting and transforming data.
Build in quality
Set up cleaning, validation and governance so data stays consistent over time.
Dashboards and training
Built interactive dashboards and trained internal teams to manage the new processes.

Live dashboards
Teams can monitor operational KPIs and impact metrics, from clean cooking performance and carbon indicators to water delivery and maintenance.
Less manual entry
Streamlined processes and automated workflows reduce manual data entry and improve accuracy.
Data that holds up
Governance and validation keep data consistent and traceable for carbon projects.
A team that can run it
Internal teams are trained to manage the processes, understand the data structure and keep quality high.