Hey Everyone, This is a project being done by a friend. They are looking for help on getting access to different data sets to use in a financial inclusion credit tool.
Description: "EFLGlobal is geared towards increasing access to finance by equipping banks in emerging markets with better tools to understand credit risk. We are a for-profit spin-off from a Harvard research initiative Our psychometric credit-scoring tool has lowered defaults and dramatically increased the SME loan portfolios of many of the largest banks in 25 countries across Africa, Latin America, and India."(www.eflglobal.com) Most entrepreneurs and small businesspersons in India and other emerging economies are "un-bankable" - they do not have access to the formal financial sector. We firmly believe, however, that their are many "hidden assets" that an entrepreneur in an emerging market can use - we started by pioneering psychometric credit scoring and now seek to add additional sources of data to our scoring model to continue to enhance our predictive algorithms. *We are seeking partners who can help us understand the following data sources in India and other emerging markets:* *1. Social Data* - Look at what variables from the social web can help understand payment risk. *2. Mobile* - Explore how pre-paid mobile usage, airtime top up patterns, and voice and SMS usage are predictive of credit risk and ability to pay. *3. GIS* - we have (fuzzy) address or GPS coordinates for bank applicants and seek to layer this data set with secondary data including point of interest data (e.g. distance from market), block and administrative level data. Market research companies have traditionally pioneered in this area and we particular we are hopeful about improvements in being able to geo-code fuzzy addresses, we are seeking those with geo-coding ability and access to data sets beyond census data (e.g. Pitney Bowes insights, axiom)" *Disclaimer: All of the data is for internal R&D and will not be sold to any other parties.* * * Let me know offline if you are interested in finding out more. Nisha -- Nisha Thompson Mobile: 962-061-2245 -- For more details about this list http://datameet.org/discussions/ --- You received this message because you are subscribed to the Google Groups "datameet" group. To unsubscribe from this group and stop receiving emails from it, send an email to datameet+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/groups/opt_out.
