Data Analytics and Business Intelligence for Banking Financial Services and Insurance
Customer Analytics
By tapping into the enormous amounts of consumer data generated, use them to form actionable insights to optimize customer acquisition and also have growth in newer segments with focused targeting with the existing customers. Use data for:
With the banking space becoming more tech-sawy and competitive every day, leveraging the data to derive insights that deliver value is important. Use business intelligence tools to maintain real-time dashboards and capitalize on the data with:
In this environment with ever-changing micro and macroeconomic factors, it is important to understand the asset mix and mitigate the risk associated to avoid potential losses by analyzing various dimensions. Address financial and nonfinancial risk with regulatory compliance with:
- Fraud Detection
- Loss Forecasting
- KYC Analysis
- Anti-Money Laundering (AML) Analysis
- Credit Risk and Exposure Analysis
- Incident Management & Claims Analysis
Regulatory Compliance
This is one of the stringent and changing requirements for the banking and financial services industry to adhere to. With techniques of advanced analytics and ML algorithms, it is possible to stay updated with the norms
- Advanced Text Mining
- Attribute Analysis
- BASEL III compliance
- Data extraction with Rest API for reporting and auditing
