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Can You Trust Your Data? A New Model for Data Quality

Can You Trust Your Data - Dig Insights - 2026 Webinar Featured Images

April 15 @ 4:00 pm – 5:00 pm

This live webinar is in partnership with:
Dig Insights
DIG is a tech-enabled insight and strategy consultancy that’s on a mission to help insights teams work smarter.

Learn how independent data validation and ecosystem-level quality signals are setting a new standard for reliable, trustworthy market research insights.

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Data quality has become one of the most discussed challenges in market research.

In this webinar, the Data Quality Co-op and Dig Insights explore a new, collaborative approach to addressing it: one that combines independent validation with signals drawn from across the research ecosystem.

Rather than relying on any single platform’s internal controls, this model introduces a layer of accountability that sits above individual data providers.

Join this session to learn:

  • why traditional data quality controls are insufficient for today’s complex, multi-source research environments
  • how independent validation differs from platform-level quality checks, and why the distinction matters for the reliability of your findings
  • how ecosystem-level quality signals work in practice, and what data they draw on to flag risk
  • the principles behind the Data Quality Co-op’s collaborative model, and how it was developed alongside Dig Insights
  • practical questions to ask your current data suppliers to assess whether your research is built on trustworthy foundations.

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