Data Analytics in Banking helps banks, financial institutions to turn massive volumes of data into actionable insights.
Banking Analytics help in customer segmentation, credit risk management and fraud detection.
By leveraging advanced analytical solutions, financial organisations can know more about customer preferences. This would help personalise the sales process for customers and also reduce credit risks and incidence of frauds.
Some of the use cases of Data Analytics in Banking Sector are
- Credit Modeling
- Risk Analysis and Modeling
- Product Recommendation Engine
- Customer Segmentation