This case study outlines how Marie Stopes International (MSI), a global family planning organisation, uses the PPI to assess the poverty status of its clients. As MSI is the first known healthcare service delivery organisation using the PPI, GF sees MSI as a model in highlighting the successes, challenges and opportunities associated with PPI use within healthcare organisations.
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 study finds that the introduction of a Community Knowledge Worker within the area led to a signicant increase in the price farmers receive for maize. It also finds effects on farmer's knowledge, their attitudes toward information and extension and farming practices.
This groundbreaking report analyzes PPI data from 10 microfinance institutions (MFIs) in the Philippines to illustrate how MFIs and other pro-poor organizations can use poverty measurement data to evaluate their social performance.
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.
Most economic development programs that aim to reach the poorest households have not been designed using a sustainable business approach. Instead, these programs have been developed as grants and charity-driven projects. While there is a role for grant-driven programs, organizations can also make sustainable business decisions to extend outreach to poorer populations in the medium to long term.
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.
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.
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.