The art of mastering data quality for AI and analytics
According to Gartner, “Poor data quality destroys business value. Recent research shows organizations estimate the average cost of poor data quality at $10.8 million per year.”1
To thrive in today’s high-pressure economy, it's crucial to have a strong data quality strategy — especially when it comes to artificial intelligence (AI) and analytics. With trusted, secure and high-quality data for AI and analytics, you can grow your business, make smarter decisions and reduce costs.
Get our eBook, “The Art of Mastering Data Quality for AI and Analytics: 7 Essential Tips for IT Leaders,” to learn:
- How to master data quality for AI and analytics and build a successful strategy
- Ways to use AI and analytics to access new insights and opportunities
- Tips to get the most value out of your data
1. Gartner®, 5 Steps to Build a Business Case for Continuous Data Quality Assurance, Saul Judah, 07 FEB 23
GARTNER® is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.
