Banking & Financial Services
Banking and Financial Services (BFS) utilize data and analytics in their decision making at every value chain from customer acquisition to back-office operations. Financial Institutions look towards algorithms and analytical functions to improve operational efficiency, drive growth, and provide personalized experiences for customers.
Implementing advanced solutions within Banking and Financial Services comes with its industry-specific nuances and compliances with several regulatory requirements. Financial Institutions have to balance customer insights vs. customer privacy, model accuracy vs. transparency, and automation vs. human touch.
Our approach of value-based analytics has helped our BFS clients focus on value enhancement as well as value protection to achieve a significant impact on both top line and bottom line.
Featured Offerings
How can Analytics Help?
– Augment external data for better customer decisions
– Optimize offer-mix and marketing channels to boost response
– Value-driven underwriting and scorecards
Case Study
50% Reduction in Customer Acquisitions Costs for a Multi-Million Dollar Digital Campaign
How can Analytics Help?
– Augment external data for better customer decisions
– Optimize offer-mix and marketing channels to boost response
– Value-driven underwriting and scorecards
Case Study
50% Reduction in Customer Acquisitions Costs for a Multi-Million Dollar Digital Campaign
How can Analytics Help?
– Increase share of wallet via behavioral scorecards
– Credit risk monitoring
– CLTV enhancement strategies
– Responsive strategies for fraud prevention
– Targeted collections and recovery
Case Study
Early Detection of High-Risk Customers Helps Avoid USD 1.5MM in Repossession Losses
How can Analytics Help?
– Boost engagement through digital adoption
– Personalize customer contact
– Proactive churn management
– PFM, chatbots, location-based service, etc
How can Analytics Help?
– Loss forecasting, CECL
– Stress test and capital planning, DFAST/CCAR/IFRS9
– AML, OFAC, and KYC analysis
– Disparate impact and fair lending assessment
– Model validation and governance
How can Analytics Help?
– Creating unified platform for ML/AI models
– Governance around data in motion and data at rest
– Internal and external data to create Customer 360
– Increase process automation
– Cross-platform synchronization of data
