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Knowledge Management

Business leaders often challenge our teams of seasoned consultants to develop and validate their strategies to gain maximum benefit from their data. This includes new technologies that use the Enterprise's current transaction data to provide strategic insight into the areas of customer behavior, existing and future customer targeting as well as customer segmentation analysis.

View a Case Study (Financial Services)

Industry Market : Financial Services (Retail Banking)

Challenge: Client desired to improve financial performance through predictive analysis of customer data.

Solutions: Semantic IQ consultants introduced several predictive models to help client improve customer targeting, cross-sell capability as well as reduce customer attrition rates.

Highlights:

Combined expertise in understanding complex business issues with expertise in analytical tools
Direct Mailing - Produced a response model as part of a 6 million piece direct mail initiative
Cross Selling - Produced several cross-sell models to predict customer buying preferences based upon product ownership, balance and transaction history, as well as demographic information
Customer Retention - Developed an attrition model to predict which customers are most likely to close their accounts

Benefits:

- Measured response rate improved by 13%, generating over $500 million in new loans
- Cross-sell models were integrated into a call center application to provide screen-pop cross-sell recommendations for branch and telesales staff handling millions of calls
- Using the customer retention model, all customer data is scored on a monthly basis allowing the bank to take proactive measures to direct outbound marketing so as to reduce customer loss