Solutions
Development & Impact Data Systems
For NGOs, foundations, development organisations, implementing partners and international programmes.
Sector context
Development programmes collect data from many places: beneficiary registers, mobile survey tools, partner reports, finance systems and spreadsheets kept in the field. Monitoring, evaluation, accountability and learning (MEAL) teams then spend much of each reporting cycle bringing that data together for donors and programme managers.
Fafanua helps NGOs and development organisations in Uganda and East Africa build a trusted data foundation for their programmes, consolidating beneficiary and survey data, tracking outcomes over time and automating the reports donors and boards require, so more time goes into learning and less into compiling.
Common data problems
- Beneficiary records duplicated across projects, partners and survey rounds.
- Survey data collected in several tools, in formats that change between rounds.
- Donor reports compiled by hand, in a different format for each funder.
- Outcomes that are hard to follow over time, because records cannot be linked between rounds.
- Programme managers waiting weeks for performance data.
How Fafanua helps
- Survey and programme data integration
Bring survey tools, beneficiary registers, partner submissions and finance data together through repeatable pipelines.
- Programme data quality
Completeness, duplication and validity checks on beneficiary and indicator data.
- Beneficiary data governance
Ownership, consent and access rules for beneficiary data, and shared indicator definitions.
- MEAL dashboards and donor reporting
Programme monitoring dashboards and automated donor reports from a single dataset.
Reporting and analytics use cases
- Beneficiary-data consolidation
- Monitoring, Evaluation, Accountability and Learning dashboards
- Programme-performance reporting
- Survey-data integration
- Longitudinal outcome tracking
- Donor-reporting automation
- Impact analytical models
Data quality and governance
- Consent and data-protection rules for personal and sensitive beneficiary data.
- Shared indicator definitions across projects, partners and donors.
- Matching and deduplication rules for beneficiaries across data sources.
- Audit trails from reported indicators back to the source records.
Operational activation
Trusted data does not have to stop at a dashboard. With operational data activation using Reverse ETL, it flows back into the systems where teams work, for example:
- Returning beneficiary status and eligibility to case-management and field tools.
- Sharing follow-up lists with field teams from trusted programme data.
- Feeding agreed indicators into partner and donor reporting systems.
Other sectors
- Financial Services Data & Analytics
Payments, Reconciliation, Regulatory reporting
- Retail & Distribution Analytics
Inventory, Branch performance, Sales, Margins
- Health Data & Analytics Solutions
Branch comparability, Billing and claims, Pharmacy stock
- Education Data & Analytics
Enrolment, Progression, Payments
- Public Sector Data & Analytics
Service turnaround, Revenue and budget, Statutory reporting
Let’s build a data foundation your organisation can trust.
Which number do you trust least? Tell us about the reports and figures your organisation relies on.