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Tata Strategic’s Banking Analytics Solutions offerings are designed to help banks in their operational activities like customer acquisition, operations and risk management. Intense competition, new product initiatives, reduced margins and state regulations pose enormous challenges in decision making using traditional tools. Our team’s expertise in predictive modeling of customer behavior and scoring techniques enable answering key questions of profitability and minimizing default risks. These help the banks in effective deployment of loans, increased cross-selling/up-selling and reduced attrition of customers.

Key offerings of Banking Analytics Solutions:

• Pricing Analytics: Selection of optimum pricing strategy for different products and identify critical price points relevant to market
• Customer Segmentation Analysis: Segmentation of the customers and design appropriate offerings based on their profile
• Fraud Modeling: Assignment of risk scores to customers and predictive modeling for early detection of fraud
• Customer Lifetime Value Modeling: Estimation of the revenue stream from a customer over time
• Scoring Analytics: Prediction of whether/ how a customer will respond to any campaign or product offering
• Churn Analytics: Identification of the reasons for customers to discontinue usage of a product/service, determine the time of likely attrition of a customer and select the appropriate retention strategies (Loyalty Programs, Customer Service, etc)
• Campaign Design Services:  Selection of targeting methods (mailers, telemarketing, etc), marketing channels (agents, brokers, in-house telemarketers), and to structure campaign features
• Constraint Optimization: Determination of product-brand mixes and optimal ROI subject to budget constraints
• Cross Sell / Up Sell Analytics: Identification of selling opportunities in complementary products, and to sell higher end products
• Sales Force Effectiveness Analytics: Understanding of current sales ratio trends for setting effective targets for the sales force