Gartner: 5 Steps to Build a Business Case for Continuous Data Quality Assurance
- Organizations must align their business objectives to their data quality program in order to be successful.
- Data quality cannot be considered a one-off IT program, but rather an integral part of an organization's digital transformation.
Read this Gartner report to learn more about the challenges of poor data quality and how to overcome those roadblocks to get the most out of your data investments.
*Gartner, 5 Steps to Build a Business Case for Continuous Data Quality Assurance, Saul Judah, Alan D. Duncan, Melody Chien, Ted Friedman, April 20 2020. 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.
Summary
Data quality is crucial as organizations accelerate their digital business efforts, but poor data quality is preventing organizations from becoming truly data-driven. With poor data quality, data and analytics leaders struggle to show the business value of their data investments. Gartner outlines the five-step approach for creating a business case for data quality improvement.
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