Data quality is a huge issue in market research and, potentially, a huge problem. If we can't depend on the data we gather, how can we hope to uncover useful insights?
The Data Quality Genome Project is a collaborative research-on-research initiative to correlate fraud indicators with response quality.
Want to know what fraud indicators are? Which indicators are likely correlated with response quality? Need to spot new fraud indicators as they emerge?
Join us for a comprehensive overview of the projects findings thus far – learn to better indentify fraud indicators as part of the path to higher quality data.
Panel Discussion Featuring:
- Chuck Miller – President, DM2 (Moderator)
- Lisa Wilding-Brown – Chief Research Officer, InnovateMR
- Ken Berry – President, Jibunu
- Garrett Gil de Rubio – Vice President, P2Sample