Curtain Up for Data Quality Co-Op

In Salt Lake City, Utah, independent clearinghouse company Data Quality Co-op (DQC) has formally launched its platform, which is designed to help buyers and suppliers of first-party data evaluate and improve the quality of their research inputs.

The DQC platform combines traditional survey-specific quality management techniques with a persistent, industry-wide data quality framework inspired by successful clearinghouses in finance, advertising and consumer reviews. The platform improves with each new organization contributing quality signals. Key capabilities include the aggregation of in-survey and outside-survey quality signals from across the MR industry - including bot detection, open-end analysis and identity resolution - to create a unified view of quality; benchmarking of supplier performance over time, helping buyers optimize sourcing strategies and helping suppliers validate their credibility; custom filters and dashboard; and automated vendor scorecards.

The company secured its first funding six months ago and has recently been building its senior team prior to this week's official launch. Co-founder Bob Fawson comments: 'It's becoming increasingly difficult to determine if data is collected from qualified people. We created DQC to give the industry a common language, independent standards for quality, and proactive solutions - so that everyone from procurement teams to researchers and suppliers can operate with more confidence and less guesswork.'

The firm is online at www.dataqualityco-op.com .