Apar Technologies improves operational efficiencies and helps revenue growth through the deployment of analytics solutions for an MNC bank
A large MNC bank that offers consumer banking, commercial banking, investment banking, Islamic banking and asset management products and services with 35,000 staff and over 16 million customers.
The customer had large amounts of data related to customers, revenue streams and branch operations which was not adequately monetised for want of appropriate analytics tools and resources with the necessary skill sets. The bank was also looking for solutions which can help in cross selling and up selling to its vast customer base.
Apar’s team helped the customer in deploying cutting edge analytics and machine learning solutions:
- Branch cash optimization: Optimize daily cash holding/cash in/ cash out and expenses of the branch
- Alternate credit underwriting: Expand the loan business to the customers without credit score using customers’ mobile data
- Wealth Propensity Model: Increase take-up of wealth products by identifying high propensity New / Existing Wealth customers
- Leads Optimization: Recommend product by each channel based on expected revenue
- AML Alerts Optimization: To hibernate/reduce alerts using Machine Learning improving the team’s focus on genuine alerts
- Aid bank’s marketing efforts deploying Data Science solutions driving revenue growth
- Improved operations efficiency leading to productivity improvement and cost savings
- Delivering innovation and special projects improving time to market
- Delivery of appropriate analytics to customers, operational personnel and management