In Salt Lake City, data quality measurement clearing house DQC has announced enhancements to its platform, promising to expand functionality, improve visibility and strengthen support for real-time research applications.In development since last year but officially launched just three months ago, DQC (Data Quality Co-Op) is an independent company whose platform offers 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 platform now includes key historical behavioral metrics in its quality tools, at the respondent level - including survey frequency, completion rates, qualification rates, and removal rates. New Supplier Scorecards and My Suppliers comparison views give users standardized, side-by-side performance data across providers, for internal and competitor benchmarking. Users can now track Custom Groups, enabling visibility into custom quality indicators such as brand indicators or specific regions - helping them to understand how supplier quality or removal rates impact long-term research programs like brand tracking or customer satisfaction. Lastly, the tool's reporting features have been enhanced with the addition of 'Granular Failure Insights' - with visualizations of failure patterns across an organization helping to identify which quality checks are most impactful, which suppliers most often trigger specific flags, and where data loss is concentrated.
Co-founder Ian Haynes states: 'From unlocking access to historical survey behavior through our API to delivering data-driven insights into sample source performance, our platform is designed to solve the everyday challenges faced by vendor management and data science teams.' Co-founder Bob Fawson adds: 'The DQC platform continues to evolve in service of a more transparent, efficient, and accountable insights ecosystem. This release makes it easier for our clients to efficiently provide the highest quality insights, whether assessing quality during a client engagement, or when deciding where to source 1st-party data.'
Web site: www.dataqualityco-op.com .
All articles 2006-23 written and edited by Mel Crowther and/or Nick Thomas, 2024- by Nick Thomas, unless otherwise stated.
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