A large credit union was trying to increase the utilization of products and services offered. Trianz was engaged to develop a recommendation engine for advising financials products to the customers.

Business Challenge

  • A large credit union was trying to increase the utilization of the products and services offered.

Technology Components

  • Microsoft SQL server, R programming language

Approach

  • Trianz met the advanced analytics group at the credit union to determine their goals and how they can complement their current infrastructure and analytics capabilities.

  • After determining the available data and the goals of the credit union, we suggested to build a recommendation engine that can be used by all credit union employees to suggest products and services when interacting with customers.

  • During the six-week engagement, we developed and operationalized a recommendation engine.

Transformational Effects

An additional $30 million in revenue was attributed to the recommendation engine along with a good customer reception for the product and service recommendations. It ultimately resulted in additional revenue and more satisfied credit union members.

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