Loading...

Using data to understand customer preferences

Published: April 27, 2015 by Guest Contributor

In today’s data driven world, decisioning strategies can no longer be one-dimensional and only risk-focused. By employing a multidimensional decisioning approach, companies can deliver the products and services customers need and want. Organizations can move towards customer-centric decisioning by:

  • Gaining a complete view of customers through internal and external data sources
  • Extracting the right information from the data and applying statistical models to predict customer behavior
  • Differentiating each customer by applying customized strategies that fit the specific customer profile

By applying rich data and sophisticated decisioning tools to the core principles above, organizations can create a more customer-centric strategy and develop new products and services to meet future customer needs.

Perspective paper: Moving beyond risk to a customer-centric strategy

Related Posts

Discover how data analytics in utilities helps energy providers navigate regulatory, economic, and operational challenges. Learn how utility analytics and advanced analytics solutions from Experian can optimize operations and enhance customer engagement.

Published: March 10, 2025 by Stefani Wendel

Learn how background screeners can optimize pre-employment verification processes, reduce fraud risks, and ensure compliance.

Published: December 12, 2024 by Theresa Nguyen

Learn how GenAI is reshaping financial services from customer engagement to compliance, leading to improved decisions and operations.

Published: December 4, 2024 by Masood Akhtar