Can you tell few use case examples in the banking scenario?

Question

Accepted Answer

Data analytics in banking can be used for fraud detection, customer segmentation, risk assessment, and personalized marketing.

Fraud detection: Analyzing transaction patterns to identify suspicious activities and prevent fraudulent transactions.
Customer segmentation: Analyzing customer data to group customers based on their behavior, preferences, and demographics for targeted marketing campaigns.
Risk assessment: Analyzing historical data and market trends to assess credit risk, investment risk, and identify potential financial risks.
Personalized marketing: Analyzing customer data to create personalized offers, recommendations, and targeted advertising based on individual preferences and behavior.

Accepted Answer

1. Customer Profiling 2. Identifying advances which are likely to be NPA 3. Cross-selling of Bank product

Top Bank of Maharashtra IT (Data Analytics) interview questions & answers