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Blog Series

Big Data for Financial Inclusion

Big data has a variety of applications to help make financial services more accessible to the unbanked. This blog series explores the big questions surrounding big data's implications and applications as well as demonstrate ways in which it is currently being used in the financial inclusion sphere.

first Access
Blog
29 September 2014

Simple Messages Help Consumers Understand Big Data

After experimenting with SMS messages with Tanzanian microfinance loan applicants, First Access determined that customers can learn a lot about data and their privacy from simple forms of communication.
coal-seller peru 11004
Blog
22 September 2014

It's Time to Listen to the Voice of the Consumer

Credit-scoring consumers via advanced analytics on non-traditional data sources has tremendous potential for expanding the boundaries of financial inclusion. Done right, it can deliver cheaper, better financial services to under-served consumers in emerging markets.
Cambodia-Phone
Blog
15 September 2014

Leveraging Mobile Phone Data: Tiaxa’s Balance Advance

Tiaxa's balance advance service is making 50 million advances each month to prepaid mobile subscribers - generally at no extra cost to the end user. How does it work? Big data plays a part.
blog fishermenatshorte
Blog
11 September 2014

How Analytics Drive Innovative Financial Services for the Poor

Advanced data analytics can be used in a variety of ways to support financial services for the poor. Agent network optimization and creating more effective marketing strategies are just two examples among many possibilities.
handloom
Blog
08 September 2014

Big Data for Financial Inclusion: Is Boring Better?

Big data has the potential to solve important pain points in financial services for the poor - especially through identity verification and real-time validation of credentials.
maze
Blog
04 September 2014

Hype or Hope? Implications of Big Data for Financial Inclusion

Financial services traditionally delivered in-person are increasingly going to be complemented by virtual models of financial service delivery. Data will be a key enabler.

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