The power of data quality

Updated: July 14, 2026 by Guest Contributor 1 min read September 8, 2014

Data quality continues to be a challenge for many organizations as they look to improve efficiency and customer interaction. On average, U.S. companies believe that 25 percent of their data is inaccurate.

In order to improve data accuracy when establishing credit strategies and initiatives, companies should place greater emphasis on data quality practices and adhere to regulations by implementing a centralized data quality strategy. Additionally, ongoing data management best practices can help combat incomplete or missing data, outdated information and inaccurate data — which are the most common errors within a database.

Register here for our Webinar on Sept. 17 to learn how to improve data accuracy and transform the customer experience.

Download our white paper: The state of data quality.

Related Posts

Stop Fraud Without Stopping Commerce: Rethinking Identity Confidence in E-Commerce

Digital commerce is creating more ways to shop and more ways for fraud to hide. Discover how you can effectively prevent e-commerce fraud.

November 5, 2026 by Kim Le
Building for Bots in the AI Age: Separating Legitimate Agents From Fraudsters

See how NeuroID helps businesses distinguish legitimate AI agents from fraud bots, while Agent Trust verifies agent-initiated transactions.

October 29, 2026 by Laura Burrows
2026 Retail Banking Identity and Fraud Report 

Learn how banks can convert rising fraud investment into protection customers recognize, value and feel in our recent report. Read more!

October 28, 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