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Using AI to Drive Survey Data Quality: A U.S. Benchmarking Study

About

The significance of high-quality data cannot be overstated. Dynata employs a sophisticated, multilayered artificial intelligence approach to data quality that consistently outperforms competitors. In this presentation, we will explore the key factors to consider related to survey data quality, the essential role of AI in enhancing data quality and how our approach improves data quality compared to the industry at large with respect to acceptance rates, demographic and behavioral representativeness, over-qualification and more. Join us to gain valuable insights into the future of data quality.

Key takeaways:
• Why AI plays an essential role in enhancing data quality.
• How data quality varies across different sample providers in terms of acceptance rates, representativeness, over-qualification, etc.
• How Dynata’s approach to data quality compares to the industry at large.
• What related industry-wide quality initiatives you should be aware of.

Featured Presenters
Webinar hosting presenter

Steven Millman

global head of research and data science, Dynata
Steven Millman is an award-winning researcher with a focus on innovation, quantitative and statistical analysis, research design and other applied research techniques. At Dynata, Steven leads all research and data science initiatives globally, spanning execution, automation, innovation, data quality and thought leadership. Steven has served as a member of the board of trustees for the Advertising Research Foundation (ARF) since 2018 and is the inaugural chair of the ARF’s industry-wide workstream on artificial intelligence. Before Dynata, Steven was chief scientist at Simmons Research (MRI-Simmons), leading measurement sciences and developing new products. Prior to that, he served as SVP of research at Comscore, where he led the ad effectiveness line of business and all custom survey work, combining self-report with behavioral data.
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