Financial services providers that see an opportunity to reach financially excluded people in rural areas can use new technology to remotely gather and analyze data on potential customers. This guide explains foundational concepts of machine learning and how FSPs can apply those methods.
Statistical models can help lenders in emerging markets standardize and improve their lending decisions. This guide emphasizes that the effectiveness of data analytics approaches often involves building a broader data-driven corporate culture.
Financial services providers can improve their businesses by using segmentation to develop a more accurate understanding of their customers. This guide shows providers how they can use data analytics to understand their customers by performing more complex analyses and extracting insights that were previously hidden.
What roles do financial services play in enabling youth education and employment? This Working Paper, written for policy makers and funders, outlines the existing evidence and highlights important questions about how to deliver comprehensive and broad-reaching interventions at scale.
This infographic showcases the three segments of smallholder households that financial service providers, government bodies, and agricultural development partners should distinguish between when designing and delivering high-value services.
Based on pilots with 18 fintechs across Africa and South Asia, this paper identifies emerging fintech innovations with potential to improve the lives of the poor. It also highlights common challenges faced by early-stage fintechs.
The story of National Payments Corporation of India sheds light on the quick and robust transformation of India’s payment systems. The lessons learned from the NPCI success story can be useful for policy makers in financial inclusion and other markets.