Churn Model to Predict Top Employee Attrition 1% of the Most Profitable Clients
Banking & Financial Services
Banking and financial services use data and analytics to make decisions at every stage of the value chain, from client acquisition to back-office operations. Algorithms and analytical functions are being sought after by financial institutions in order to increase operational efficiency, promote growth, and create tailored experiences for clients.
Implementing sophisticated solutions in Banking and Financial Services involves industry-specific intricacies as well as compliance with various regulatory constraints. Financial institutions must weigh consumer insights against customer privacy, model accuracy against transparency, and automation against human touch.
Our value-based analytics strategy has assisted our Banking and Financial Services customers in focusing on value improvement as well as value protection, resulting in a substantial effect on both the top and bottom lines.
Featured Offerings
Marketing & Acquisition
How can Analytics Help?
– Improve consumer decisions by supplementing external data.
– Optimize your offer mix and marketing channels to increase reaction.
– Scorecards and value-driven underwriting
Portfolio Management
How can Analytics Help?
– Credit risk management.
– Responsive fraud prevention strategies.
– Concentrated collection and recovery.
– Increase wallet share with behavioral scorecards
Customer Experience
How can Analytics Help?
– Increase participation through digital adoption
– Customize customer contact
– Proactive control of turnover
– PFM, chatbots, location-based services, and so forth.
Risk & Regulatory
How can Analytics Help?
– Capital planning and stress testing DFAST/CCAR/IFRS9
– Analysis of AML, OFAC, and KYC
– CECL loss predictions
– Assessment of disparate effect and fair lending Model validation and governance