One of the bankers said, “If I know this customer is eating Briyani for Rs 250 every Tuesday, how can I use this data for underwriting?”

It’s NOT about the volume of data. 
It’s about of volume of RELEVANT data.

Different types of data available for credit underwriting in Banks:
1) Bureau Data

2) Bank statement details

3) Bill Payment Data -Utility bills like telco, dth/cable, EB bill, Rent and GST ( You will be able to get monthly spend and also a discipline of the payment behaviour)

4) Non-Financial Data – Educational and employment details, retail purchase information from e-commerce companies, social network and psychometric survey for NTC, location information and different apps used from the mobile app.

What other data have I missed in this list?

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