“Big data” sounds like something only large corporations need to worry about, but impact organizations increasingly sit on more data than they realize — years of program records, survey responses, and beneficiary interactions that could support much stronger reporting if properly analyzed.
What counts as big data in the impact sector
For most impact organizations, the relevant challenge isn’t data volume in the technical sense — it’s data spread across years of disconnected spreadsheets, survey tools, and partner records that were never designed to talk to each other.
The real potential: longitudinal evidence
The most valuable thing accumulated program data can do that a single report can’t is show a trend over years, not just a snapshot. An organization that can show a beneficiary outcome improving consistently across five years of programs tells a far stronger story than any single year’s number.
Privacy and ethics aren’t optional extras
Because much of this data describes real, often vulnerable, beneficiaries, the ethical and privacy questions around who can access it and how it’s used carry more weight than in a typical commercial data project.
Start with a real decision, not a data audit
The organizations that get the most value from their accumulated data start by naming a specific decision — expand this program, or not — and pulling only the data relevant to that decision, rather than attempting to analyze everything at once.
Making sense of years of accumulated program data is exactly the kind of work Insights Lab does for organizations across MENA and Africa.