Research Report
Gartner®
5 Steps to Build a Business Case for
Continuous Data Quality Assurance
As per recent Gartner research, “Poor data quality destroys business value. Recent research shows organizations estimate the average cost of poor data quality at $10.8 million per annum. This number is likely to rise as business environments become increasingly digitalized and complex.”
“Data quality improvement is not a one-time activity. Data and analytics leaders, including chief data officers, must plan for ongoing improvement and assurance in their data quality business case if they wish to deliver sustainable value to their organization.”
“As organizations accelerate their digital business efforts, their need for trusted, high quality data increases.”
Get the research report and learn the five-step approach for creating a business case for data quality improvement.
Get the Report
Gartner, 5 Steps to Build a Business Case for Continuous Data Quality Assurance, By Saul Judah, Alan D. Duncan, Melody Chien, Ted Friedman, Refreshed 7 February 2023, Published 20 April 2020
Gartner does not endorse any vendor, product, or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
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
