RONIN’s Simon Glanville Explores Data Quality Challenges in Market Research
Our Managing Director, Simon Glanville, recently participated in Research Live's insightful three-part podcast series on data quality hosted by Liam Kay-McClean. This series delves into critical issues affecting the market research industry today, offering valuable perspectives on how we can enhance data integrity and reliability.
Key Topics Explored
In the conversation with Research Live, Simon and other industry experts explore several pivotal topics:
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Data quality challenges: A look at the critical issues surrounding data quality and the factors contributing to the current crisis.
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Root causes: Understanding the underlying causes that lead to data quality problems.
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AI and Synthetic data: Examining the impact of artificial intelligence and synthetic data on the market research industry.
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Industry transformation: Insights into how the market research sector is evolving its approach to ensure robust data quality standards.
Why Data Quality in Market Research Matters
Data quality is a critical issue in the market research industry, with inaccurate or unreliable data leading to misguided business decisions, wasted resources and missed opportunities. As highlighted in the Research Live podcast series, the importance of data quality cannot be overstated with Debrah Harding, Managing Director at the Market Research Society (MRS), warning that if left unchecked, data quality issues "could become an existential issue" for the market research industry. At RONIN we are committed to providing trusted quality data collection from real verified B2B professionals, hence why we feel it is important to engage and contribute to these conversations.
Listen Now
You can listen now to Simon's insights within Episode 2 and Episode 3 of the Research Live podcast series. His expertise provides perspective on ways to overcome data quality challenges and drive better outcomes for our clients and partners in market research.