Platform Upgrade for Data Quality Co-op

In Salt Lake City, Utah, USA, data quality measurement firm DQC has announced a platform upgrade which it says improves the way users visualize respondent activity, compare supplier performance, and export detailed quality data.

DQC (Data Quality Co-op) was officially launched earlier this year as an independent company offering continuous quality measurement and real-time quality certification, by aggregating, analyzing and benchmarking data quality signals. This helps researchers and research buyers to clean data through in-survey behavior and technical indicators, and to use supplier satisfaction metrics, tracker consistency data and custom groupings to improve quality workflows.

The latest release is designed to make quality monitoring more accessible and efficient across teams. New features include 'Fraud Map View', which visualizes global respondent activity, displaying device scores and survey interactions by country, with time-based filtering and supporting data tables for regional trend analysis. Enhanced Supplier Insights show how many sample suppliers a respondent appears under, helping users to detect professional respondents and supplier overlap. A redesigned Projects page promises clearer visibility into key metrics such as completion and qualification rates and satisfaction scores; and a new 'Generate Export'� feature allows users to download raw data for deeper analysis.

Company co-founder and CTO Ian Haynes comments, '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.'

Web site: www.dataqualityco-op.com .