Transforming raw field data into real-time humanitarian intelligence.
We design and deploy end-to-end Monitoring, Evaluation, Accountability, and Learning (MEAL) infrastructures that enable regional programs to transition from static reporting to agile, evidence-based decision-making. Using a "Digital-First" approach, we ensure humanitarian data is accurate, secure, and immediately actionable.
In complex humanitarian environments, the distance between a field observation and a strategic decision can be the difference between success and failure. Clean Data Services specializes in building the technical pipelines that close this gap—harmonizing multi-sectoral data from diverse partners into a single, reliable source of truth.
Deploying "Offline-First" industry standards like ODK and KoboToolbox to capture reliable field data, including GPS and multimedia, in the most remote environments.
Building secure, high-speed integrated data hubs that aggregate multi-partner data into a "Single Source of Truth" using modern stacks like DuckDB and PostgreSQL.
Delivering interactive Tableau dashboards featuring real-time GIS mapping and automated alerts when emergency crisis thresholds are breached.
Evaluating existing MEAL frameworks for digital readiness to identify technical gaps and ensure total alignment before system deployment.
Translating complex humanitarian logframes into technical data dictionaries and pre-configured indicator tracking modules.
Engineering secure cloud infrastructures with Role-Based Access Control (RBAC) to safeguard sensitive beneficiary data while granting full visibility to directors.
Cleansing and migrating historical pilot data into the new system to enable high-resolution year-over-year trend analysis.
"Train the Trainer" models ensuring long-term technical sustainability and ownership of the digital MEAL ecosystem.
From field data to executive insight — we build the bridge.
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