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Determine what specific features of a GlobalGiving project (title, photo, etc) lead to increased donations in order to give more accurate training to nonprofit organizations

Use the data to go beyond simple financial reporting and understand what makes arts and cultural organizations succeed
Look for connections between financial and programmatic data to help arts and cultural organizations become more effective
Identify peer organizations with similar business challenges from within their community for peer-to-peer mentoring opportunities

To look at what kinds of issues people went to Citizens Advice for help with before they ended up homeless in St Mungo’s Broadway’s system

To find a more geographically granular and up to date way to understand child poverty data in the UK

To help Shooting Star Chase understand their own data and use it to find the missing children

To find patterns in text data to better understand the shared experiences of vulnerable families and youth

To track the lifecycle of their tutors and understand what makes for a successful pairing between tutor and student.

Automate a data-driven process for targeting villages to receive cash transfers.
Use satellite imagery and machine learning to identify, on a village-by-village level, the proportion of thatch and metal roofed homes, with thatch as a proxy for extreme poverty.

Look for patterns in temperature failures—specific clinics, types of refrigerators, and more—to identify which clinics could most stand to benefit from opportunities for improvement.
Help Nexleaf improve the cold chain supply to deliver more unspoiled life-saving vaccines to people in need
Get additional insight into how data analysis can be improved in the future to help Nexleaf achieve their impact