Data Quality Co-op launches ‘fraud map’ feature
The latest round of updates includes a new ‘fraud map view’ mode that visualises global respondent activity, including displaying device scores and survey interactions by country, with time-based filtering and supporting data tables for regional trend analysis.
The release also includes a redesigned projects page to help users examine key metrics, such as completion and qualification rates, and satisfaction scores.
Other additions include enhanced audience filtering, a ‘generate export’ feature to allow users to download raw data for deeper analysis, and other quality-of-life improvements including refined workflows, new tool tips and performance optimisations.
Ian Haynes, co-founder and chief technology officer at Data Quality Co-op, said: “These new tools give users a deeper and more flexible view of quality signals, from geographic fraud patterns to supplier overlap, making it easier to identify opportunities for improvement and strengthen confidence in every dataset.”

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