Elevating Data Quality
February 1, 2024, at 12 p.m. ET/5 p.m. U.K.
Sophisticated survey fraudsters, increasingly elusive bots and the ever-presence of generative AI have presented significant challenges across the market research ecosystem. While existing solutions and manual processes can clean poor-quality data post-collection, they are often costly and inefficient. A more effective approach eliminates fraud before it starts, preventing both individuals and bots from beginning a survey. This session identifies key challenges and offers solutions for addressing these issues effectively.
Key takeaways:
- Different causes of poor-quality data and the importance of addressing them with a multifaceted approach.
- The use of generative AI to mimic genuine participants along with strategies for identifying and eliminating these responses.
- Cutting-edge techniques and tools for fraud detection and prevention.
- Immediate, actionable steps to ensure data confidence for you and your clients.
Presenter:
 | Roddy Knowles – VP, Product at IRT Roddy Knowles is VP of product at IResTech, ensuring its customers get maximum value from dtect, a platform that ensures data quality while simplifying field management. Throughout his career, he has been a persistent champion of innovation, a standard-bearer for data quality and a vocal advocate for research participants. He serves the industry as a board member at MRII and as an active contributor to industry association initiatives. He holds an MA from Boston University – and is a proud Ph.D. dropout. |
February 1, 2024, at 12 p.m. ET/5 p.m. U.K.