Jiayi Qu
ABSTRACT
The bank's loyalty rewards mall has drawn substantial attention as a key strategy to entice and promote user engagement in today's competitive financial sector. However, given consumers' increasingly varied purchasing habits and tastes, banks face a significant challenge in raising customer happiness and maximizing revenues. Banks have used big data technologies to extract crucial data from enormous databases, better understand consumer expectations, and refine their loyalty rewards mall's operations and marketing tactics to overcome these obstacles. In this project, order data from a certain bank's loyalty rewards mall will be cleaned, preprocessed, and visualized using data analytic tools. It aims to gain a deeper understanding of customer demands and preferences by analyzing product sales and the mall's profitability, increasing customer satisfaction and loyalty.
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Index Terms
- Key Applications and Optimization Strategies of Data Mining in Bank's Loyalty Rewards Mall
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