When you hear terms like synthetic data or AI sample boosting, they may sound positive due to their connection with AI. ⚙️

▪︎ However, these techniques can have significant effects on your data—often similar to the survey fraud issues our industry faces.

▪︎ Understanding the difference between sample boosting and traditional weighting is crucial, as the impacts on your data set can be very different, even opposite. This distinction is key to maintaining data integrity.

➟ Want to learn more about how AI impacts data quality? Contact MSW Research to learn more about our AI-driven strategies, essential for accurate, reliable data.

➟ Follow or connect for more from our three-part series on AI and Market Research featuring Partner and CEO Art Klein.