In the recent years, the progression in technologies and decrease in storage costs have resulted in the accumulation of vast volumes of data referred to as Big Data. Big Data has gained significant attention in businesses due to its capacity to generate, handle, and store data at an affordable rate. Big data encompasses sophisticated tools and methods for processing extensive data sets within organizations. In the fiercely competitive realm of computer science, it is crucial to maximize the outcomes of our data in minimal time. Big Data has a significant role in Banking sector. It is used to provide enhanced customer insights, support in risk management and fraud detection, operational efficiency. This paper analyzed customer churn data using ANN and tensor flow methods.