The dataset contains the SMS data for the riders and it can be used to extract information to derive insights about the financial health of the riders. Some of the pointers on what information can be derived from the data are,

1. How many users are using more than one primary bank as their means of the transaction?
2. How many SMSs here contain financial transaction data?
3. What percentage of transactions are income transactions vs expense transactions?
4. What percentage of users are involved in EMI’s & Loans?
5. How many users have most of their salary in the first 7 days of the month?
6. What percentage of users tend to have a positive cash flow?

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