This research focuses on the importance of predictive models in reducing fraudulent credit cards and banking issues faced by consumers. The study examines the significance of big data technology in the context of predictive analytics and provides a literature review of previous studies based on predictive models and big data analysis techniques. The research aims to understand the concept behind the predictive model and big data, evaluate and reduce the rate of fraud cases related to credit cards and banking sectors, and examine the importance of predictive models and big data analytics in the detection of fraud cases.