The banking, financial services, and insurance sectors, collectively known as BFSI, are regarded as analytics pioneers. The BFSI industry has been reinventing itself to keep up with the rising use of IoT devices and the extraordinary emergence of Big Data. A bank is a financial institution that deals with deposits and advances and provides related services. Banking has become an essential part of everyday life. Additionally, the new millennium has seen an increase in innovative approaches to banking. Over the past decade, data analytics has become a very generic buzzword. Due to the rapid changes in the banking business, there is renewed support for using data analytics in this industry. The term “analytics” refers to obtaining data, processing it, and then employing tools and mathematical and statistical computations to enhance its usefulness. Analytics provides solutions to not only the most significant issues but also many smaller issues that mount over time. Data analytics in banking have changed along with the trend of the digital revolution. As a result, there has been an enormous expansion in how data analytics may be employed to increase the customer base and reduce expenses. The present chapter discusses the various applications of data analytics in banking.