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Preventing potential customer credit card churn

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What are the examples of how each does data mining can be applied in a bank in each area of application at the below

-Acquisition (of customers): To increase business profits by offering compatible wealth management products to new potential customers. (Please explain in terms of Association rule mining and Predictive Modelling)

-Engagement: To improve customer satisfaction level by improving customer's experience when using banking services. (Please explain in terms of Association rule mining and Clustering)

-Retention: To maximize profit by predicting and preventing potential customer credit card churn. (Please explain in terms of Association rule mining and Predictive Modelling)

Reference no: EM132866223

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Preventing potential customer credit card churn : What are the examples of how each does data mining can be applied in a bank in each area of application at the below
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