Prevailing wisdom holds that the ultra-poor are too poor to save money. This study examines the savings behavior of ultra-poor women served by the Livelihood Pathways for the Poorest project, which is jointly implemented by Grameen Foundation and the Livelihood School (part of BASIX group of companies), in Gaya District, Bihar, India.
In this study, Grameen Foundation reviews microfinance institutions' (MFIs) experiences with mobile financial services and assesses the challenges and opportunities faced during implementation.
The mobile phone is gaining widespread popularity as a means to bridge the “last mile” – to bring information and financial services to people without ready access to them. To get a better picture of how to best deliver mobile services, we conducted a case study with our partner, Cashpor Microcredit, based in Varanasi, India.
This case study presents work done with CARD Bank in the Philippines as part of a larger savings mobilization project with Grameen Foundation to introduce a new type of savings product and expand CARD’s market share to poor savings clients.
This case study illustrates the use of data analytics - including the use of the Progress out of Poverty Index® - to strengthen CARD Bank's savings strategy. It outlines the business questions that were asked and the client insights they gleaned, as well as how this information is being used to change produce design and delivery.
For over 30 years, microfinance institutions (MFIs) have been successfully serving some of the poor and poorest people around the world, primarily with credit products. Generally however, MFIs grapple to successfully add savings services to their portfolio of financial products.
The capability of their staff is perhaps the single most important resource microfinance institutions (MFIs) have for meeting the challenges of reaching more people, while navigating financial, regulatory, political, competition and other issues.
Grameen Foundation’s holistic approach to microsavings provides the framework and tools to develop and offer convenient, accessible, and secure poverty-focused savings programs while building sound financial, organizational, and operational practices that help transform microfinance institutions (MFIs) from credit-led to demand-driven institutions.
Targeting and selecting groups for social development programs based on poverty levels can be a powerful first step in achieving greater impact. However, the complex nature of poverty often leads to processes that are accurate, but extremely customized, making it difficult to make comparisons across projects and geographies. This paper presents a methodology that aims to address both these issues.
Effective data analytics is essential for meeting the bottom line, and is even more critical when you are trying to meet a double bottom line. This case study examines how PT Ruma – a social enterprise based in Indonesia – is using social and business data to change its business practices.