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Content Type: Examples
In October 2018, the Singapore-based startup LenddoEFL was one of a group of microfinance startups aimed at the developing world that used non-traditional types of data such as behavioural traits and smartphone habits for credit scoring. Lenddo's algorithm uses numerous data points, including the number of words a person uses in email subject lines, the percentage of photos in a smartphone's library that were taken with a front-facing camera, and whether they regularly use financial apps on…
Content Type: Examples
In December 2018, a report, "Access to Cash", written by the former financial ombusdsman Natalie Ceeney and independent from but paid for by the cash machine network operator Link, warned that the UK was at risk of sleepwalking into a cashless society and needed to protect an estimated 8 million people (17% of the British population) who would become disadvantaged as a result. Although cash used halved between 2007 and 2017, and debit cards passed cash in share of retail transactions in 2017,…
Content Type: Examples
After an 18-month investigation involving interviews with 160 life insurance companies, in January 2019 New York Financial Services, the state's top financial regulator, announced it would allow life insurers to use data from social media and other non-traditional sources to set premium rates for its customers. Insurers will be required to demonstrate that their use of the information doesn't unfairly discriminate against specific customers. New York is the first state to issue specific…