What is data quality in market research?
When it comes to market research and media measurement, ‘quality’ refers to the relevance, reliability, and accuracy of the consumer insights that have been gathered as part of online surveys conducted through market research platforms like the Cint Exchange.
As the world’s largest research marketplace, connecting real people to real questions is the cornerstone of our offering, and data quality is of the utmost importance to us.
How is data quality defined in market research?
Data quality in market research refers to the accuracy, reliability, and completeness of the information collected and presented to customers as insights.
High-quality data is free from errors, inconsistencies, and biases, ensuring it truly represents the target audience.
Why is data quality crucial for business success?
Cint customers rely on us to help them find the consumer insights they need. Inaccurate, poor-quality data can be misleading, but high-quality research builds confidence, enabling product development, media planning, and campaign evaluation.
Providing customers with access to high-quality market research data ensures that the insights in question are trustworthy and representative and thus enables organizations to make data-driven decisions efficiently and effectively.
On the other hand, providing customers with access to high-quality market research data ensures that the insights in question are trustworthy and representative and thus enables organizations to make data-driven decisions efficiently and effectively.
Want to know about quality at Cint?
Want to know more about Cint’s commitment to quality? Head over to our Quality page to get the lowdown on how we pair advanced tech with dedicated teams to fight data fraud and deliver high-quality consumer insights.
