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Global Goods Tracking Sites

The iuMAP Project Tracks and Maps Global Social Enterprise

— November 1, 2010 — Social Good
Social enterprises that serve the 2.5 billion people living on less than $2.50 per day are the focus of Ayllu’s iuMAP project.

Data gathered in developing countries worldwide is analyzed and distributed via the iuMAP project. The data assists with assessment of the market-based methods that social enterprise uses to address social and environmental challenges. The end result is the creation of social enterprise sustainable businesses, informed by uiMAP data and delivery of products and services including health care, lighting and potable water to the world’s poor.
Trend Themes
1. Social Enterprise Market Analysis - Tracking and analyzing data on social enterprises in developing countries provides opportunities for innovative approaches that address social and environmental challenges through market-based methods.
2. Sustainable Business Models for Social Enterprises - Gathering data on social enterprise activities in developing countries facilitates the development of sustainable business models for addressing the needs of people living in poverty.
3. Data-driven Solutions for Global Poverty - Data analysis of social enterprise activities in developing countries offers opportunities for data-driven solutions that focus on improving the lives of people living in poverty.
Industry Implications
1. Market Research and Analysis - Market research and analysis firms can use the iuMAP project data to develop insights into the social enterprise market and create effective business strategies for client companies.
2. Social Enterprise Consulting - Consulting firms that specialize in social enterprises can use the iuMAP project data to develop customized solutions that are informed by data-driven insights and tailored to the needs of their clients.
3. International Development - International development organizations can apply the insights and solutions provided by the iuMAP project to design and implement poverty-reduction strategies that are based on data-driven insights and sustainable business models.
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