Conventional business model approaches are being revolutionized by the need to query vast amounts of heterogeneous data in many forms from numerous sources, both internal and external. Its relevance to the value creation process. More advanced algorithms and data analytic models are required to enhance the overall system performance and help with intercepting and interpreting digital flows. It is feasible for any kind of communication, especially those originating from the web or the Internet of Things. The capacity to convert all types of data sources into cognizance and estimate reality for its basic components into objects, places, phenomena, and people. As people generate massive volumes of data, it is necessary to have a proper data integration procedure for smooth governance. It helps in every decision-making process, such as a strategic component of any company’s development and survival. This paper uses exploratory data analysis to study various patterns to address various issues. One such issue is that the customer faces trouble during their installment payments. It is an important part of risk management, which plays a crucial role in survival and prosperity.