Financial analytics can help to make fact-based, data-driven strategic decisions.
Financial institutions use data and analysis to help make decisions throughout their operations, from customer acquisition to back-office functions. They look to algorithms and analytics to improve efficiency, grow revenues, and provide personalized experiences for customers.
Within Banking and Financial Services, advanced solutions must balance industry-specific nuances with compliance with several regulatory requirements. Financial Institutions need to balance customer insights with customer privacy, model accuracy with transparency, and automation with human touch.
Our value-based analytics approach has helped our banking and financial service clients focus on both “enhancing” and “protecting” value to achieve a significant impact on both top line and bottom line.
Key features of marketing analytics:
Marketing and Acquisition
- Integrate external data to support better customer decisions
- Use offer-mix and marketing tools to increase response
- Value-centric underwriting and scorecards
Portfolio Management
- Use behavioural scoring to increase share of wallet
- Monitor credit risk
- Effective fraud prevention strategies
- Enhance Customer Lifetime Value
- Target collections and recovery
Customer Experience
- Boost interactions through digital channels
- Use proactive strategies to manage churn
- Individualize customer contact
- Brand Equity Analytics
- Chatbots, Location-based services, Personal Financial Management
Risk and Regulatory
- Stress test, DFAST/CCAR/IFRS9
- KYC, AML, OFAC
- Model validation and model governance
- Fair lending assessment
- Loss forecasting