Since 2008, Fonkoze has been using PPI and food security data to monitor and evaluate the progress of clients participating in its targeted programs for hurricane relief. Fonkoze is now also using it for earthquake recovery efforts.
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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.
This case study shows how PT Ruma, the first technology-for-development initiative to use the PPI, applied its findings to guide twin goals to reach more poor women with its mobile phone business microfranchises and to affirm its social accountability to shareholders.
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.
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 case study explores how Grameen Koota, a leading socially-focused microfinance institution in India, is using the PPI to measure and track its clients’ movement out of poverty.
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.
People-related issues have consistently ranked among the top ten industry challenges in the Microfinance Banana Skins report. This review analyzes the concerns raised in the 2011 report, including governance, management, staffing and the overall institutional strength of microfinance institutions.
This case study illustrates how PRISMA Microfinance, an MFI in Peru, has collected three years of PPI data to reach and serve its target clientele. It also discusses the challenges and opportunities that the institution is facing and how it plans to address them.
In 2009, the Grameen Foundation selected CARD Bank, a Philippine microfinance institution (MFI) with over 580,000 clients, to participate in its Microsavings Initiative. This case study describes how CARD Bank has used the PPI to identify opportunities for product cross-selling.