Using data to understand customer preferences

by Guest Contributor 1 min read April 27, 2015

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

Ask the Expert: Busting the Biggest Myths About Alternative Data with David Elmore and Vince Nowicki

Alternative data myths can hold lenders back. Experian and Mission Federal bust common misconceptions about risk, implementation and getting started.

October 5, 2026 by Julie Lee
2026-2027 Data Breach Response Guide

Our Data Breach Response Guide provides guidance to help your organization prepare, respond and recover while protecting your customers.

September 30, 2026 by Laura Burrows
2027 Data Breach Forecast: Why Trust Is Becoming the Next Cybersecurity Battleground

AI, digital doppelgängers and growing consumer skepticism could reshape the data breach landscape in 2027. Here’s what to prepare for.

September 29, 2026 by Laura Burrows

Subscribe to our Newsletter

Enter your name and email for the latest updates.

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Subscribe to our Newsletter

Don't miss out on the latest industry trends and insights!
Subscribe