Under the application of big data, what are the ways of bank customer management and traditional customer management in hengfeng bank?

What you're asking is: What's the difference between bank customer management and traditional customer management under the application of big data in hengfeng bank? They are different in data decision-making, real-time feedback and automatic operation.

1. Data-based decision-making: hengfeng bank has realized data-based decision-making through data analysis and data mining technology based on big data. In customer management, hengfeng bank uses big data to analyze customers' behaviors, interests, needs, preferences and other information, finely operates customers through customer portraits and grouping, formulates personalized sales strategies, and enhances customer experience.

2. Real-time feedback: With the application of big data, hengfeng bank keeps abreast of customers' needs and feedback by tracking their behaviors and feedback in real time, thus providing customers with faster, more personalized services and more accurate sales suggestions.

3. Automated operation: hengfeng bank realizes the automated operation of customer management through big data technology, and automates customer classification, customer demand identification, scheme formulation and sales, which improves work efficiency and accuracy and reduces operating costs.