Banking

Banking industry has become intensely competitive, demanding highly secure transactional environment, strict governing regulations, increased customer expectations and rising costs.

Banks use BI to create attractive product offerings and reliable service delivery that relate directly to the purchasing trends of their customer base and, ultimately, productivity and profitability.

Customer Relationship Management

• An integrated customer view across the systems for profitability, credit risk, or sales opportunities, operating margins, transaction costs, consumption pattern.
• Increase efficiency of core business processes with call center management and electronic trading

Financial Analysis

• Predict the effect of new product or promotional scheme by performing ‘what if’ analysis after quantifying the profitability of specific customer segments over a lifetime in particular product lines
• Measure operational losses by transaction volumes, complaint levels, refunds, and error corrections

Risk and Fraud Analysis

• Identify and assess the impact of losses resulting from internal risk exposure, such as—people, systems, inadequate processes, or failed processes
• Aggregate risk (credit, operational, market, country) information across the organization to deliver risk reporting on money laundering and identity theft and consumer bankruptcies, SOX Compliance Reporting

Operations Management

• Organize and highlight the appropriate data required to quickly respond to regulator’s requirements for corporate governance reporting, management reporting and financial statement disclosures
• Reporting of—Branch Performance, Online Account Statements, Credit Card Statements, Payment and Analysis, Consumer and Commercial Loan Reports, Multi-account Performance dashboards

Sales and Marketing

• Retain and expand your client base, improve cross-selling opportunities and increase customer profitability through a better understanding of behavior, needs and preferences
• Analyze customer behavior based around product type, revenue levels or activity levels which can then be used in product development, targeted marketing or promotional pricing

Some Key Analytics for Banking:

Wealth Management, Portfolio Analysis, Loss Analysis, Error Corrections, Account Prioritization, Customer Fees Decision, Deposit and credit analysis, Customer Profiling/Segmentation