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Use Telecom Data to Identify Digitally Excluded and Women Communities

Frederic Pivetta of Real Impact Analytics in Luxembourg will develop a platform and applications to leverage data from telecom operators to identify individuals in developing countries, who are often women, without access to digital financial services. They hypothesize that these isolated individuals display unique cell phone behaviors that they can use to identify them. Once identified, they can be directly targeted with appropriate campaigns and products to encourage them to get beneficial financial services such as mobile money accounts. They will refine a predictive model to identify selected user features such as calling volume and social network characteristics from large datasets.

More information about Explore New Ways to Measure Delivery and Use of Digital Financial Services Data (Round 15)

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