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🔍 IIEX Session Recap: Preventing the Hidden Costs of Poor Data Quality This was an awesome session from our friend and fellow data quality ally, Roddy Knowles. Here's what was shared: - Understand Financial Implications: Recognize the direct financial impact of bad data on research projects and operations. It can show up in operationally in field management, in the time it takes to manually clean low quality data, and in continued sampling to replace bad completes. - Assess Client Retention: Learn how poor data quality affects client retention and influences partner selection. When asked for a show of hands if anyone had lost a project or client because of poor data quality.. there were a lot of hands raised. - Implement Proactive Strategies: Discover strategies and technologies to prevent data issues and strengthen client relationships. Pressing sample partners on their validation process and verifying it is table stakes. When there's a data quality conversation we love to be part of it. It's refreshing to hear dtect and Roddy Knowles think similarly on some of these issues.