Customer Analytics for Banking

SAS® Customer Analytics for Banking

Lower acquisition costs, improve retention rates and increase wallet share

SAS Customer Analytics for Banking turns raw data into insight that you can use to manage marketing strategy intelligently and increase customer retention.

Our integrated software infrastructure enables business users to analyze complex customer behavior hidden in large volumes of historical data. You can then use that information to answer critical business questions, such as which customers are likely to try a new product and which are likely to leave the bank entirely.

Benefits

Create a single view of the customer.

Consolidate all customer data in one place regardless of source, automatically cleanse the data and transform it to provide a complete picture of the entire customer relationship.

Uncover new sales opportunities, and increase wallet share.

Identify potential cross-sell/up-sell prospects using predictive analytics – like decision trees – to forecast expected customer behavior.

Improve retention rates.

Predict customer behavior using detailed analytics, such as cluster analysis, to gain insight into the major factors that influence customer retention.

Reduce marketing costs.

Connect offers to the right customers using predictive analytic techniques based on demographic, geographic and behavioral data across the organization.

Screenshots

Features

Customer Analytics for Banking
  • Banking data model.
  • Superior data management.

 

  • Comprehensive, easy-to-use reporting and business intelligence.
  • Data mining and predictive modeling.

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