Bad data costs organizations an average $ 12.9 million a year in the U.S. alone*.
Data quality is critically important to driving successful business outcomes but poor quality data impacts project timelines, costs and reputation and Dynata leads the industry in delivering the highest-quality data.
Join us on November 7th at 12pm EST for a live webinar where we will reveal key findings from a recent data quality benchmarking study conducted among seven sample providers in the U.S.. This 45-minute session will cover:
- How data quality varies across different sample providers in terms of acceptance rates, representativeness, over-qualification, and more.
- How Dynata’s approach to data quality compares to the industry at large.
- Why AI plays an essential role in enhancing data quality.
- What related industry-wide quality initiatives you should be aware of.
Sign up now to secure your place and ask any questions you may have about achieving the highest standards in data quality.
Research conducted by Love + Soule Insights, comprised of Western Washington University faculty professors Ed Love and Catherine Armstrong Soule
*Source: Gartner, July 2021
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