Looking back at the use of big data in banking, few would have predicted it was possible to prove a correlation between correct use of capitalization when writing your name online and your credit worthiness 20 years ago.
The application of big data to traditional bank lending.
Additional issues we need to understand include: The application of big data to traditional bank lending.
39% of media and communication organizations surveyed said they have already invested in big data, followed by 34% of banking organizations and 32% of services firms.
Big Data is part of that trend.
With the constant development of FinTech, these data are stored on the bank's big data analysis platform, forming a detailed electronic business card for each customer.
Applications of big data are used in telecommunications, healthcare, bioinformatics, banking, marketing, biology, insurance, city planning, earthquake studies, web document classification and transport services.
An important innovation of modern banking is the implementation of state-of-the-art technology and the usage of big data.
In 2015, T bank renamed the division of electronic finance as the division of digital banking to declare its ambitions to develop digital banking, including online banking, electronic payment, FinTech, and big data analytics.
The discussions and conclusions in the paper can be useful to the banking and financial organizations with the critical latency requirement of big data analytics.
