This technical guide introduces the open finance self-assessment tool and development roadmap. It provides practical tools for policymakers to use to decide whether to implement an open finance regime to advance financial inclusion.

The Small Firm Diaries is a global research initiative to better understand small firms in low-income neighborhoods of developing countries, especially the barriers to growth such firms face, through high frequency quantitative and qualitative data collection (“financial diaries”).

This study tests the extent to which the promises of digital modes of payment, increased efficiency of transactions, increased financial inclusion, and improvements in the financial well-being of low-income individuals, are fulfilled.

This study examines the growing impact of climate induced disasters on the agriculture sector in Senegal and explores financial gaps that could feasibly be filled through climate risk insurance solutions.

Based on 3,822 (majority women) VSLA member interviews, this brief represents quantitative data from Burundi, Colombia, Côte d’Ivoire, Ethiopia, Mali, Niger, and Vietnam.

This guide outlines five key actions for digital financial service providers, regulators, and funders to expand rural Cash-In and Cash-Out agent networks based on CGAP's global experience.

This working paper explores the benefits of having more women agents, the challenges they face, and potential solutions to promote their participation in the DFS ecosystem.

This paper explores how rural Colombian households respond to rainfall shocks by shifting children's time from school to domestic activities, with the impact on education mitigated or exacerbated by financial inclusion measures.

To understand digital finance consumer risks in Senegal and in the West African Economic and Monetary Union, this slide deck shares an overview of the risks digital financial service users faced in the past year in Senegal.

This reading deck puts a spotlight on the specific data trails generated by digitally included yet poor people, the sources of these data trails, and variations of data trails across different segmentations.