![]() “We had to deal with a lot of legacy systems, which we migrated over to AWS,” said Kumar. Kumar explained the strong and growing competition in the space, coupled with challenges like data completeness, dynamic nature of transactions data, user fatigue, and legacy systems. ![]() Making decisions and predicting outcomes using these data is easier said than done. Besides these, other data also include clickstream, demographic, geolocation, derived features like aggregates and sequences. The transaction data include bank accounts, money management accounts, retirement or investment accounts, credit card, trading, and other financial services. As a personal financial management app, Mint has over a decade of user transaction data of tens of millions of users. ![]() With 4 million active users, Mint helps its users manage spending, budgeting, subscriptions, etc.
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