4 Keys to Developing a Robust Data Quality Strategy
Discover essential keys to developing a robust data quality strategy in market research. Learn how to ensure reliable data and gain a competitive advantage.
Show me where it hurts: The true cost of poor data quality
The data quality crisis in the market research industry has reached a tipping point. For years, conversations about the importance of data integrity have been circulating among professionals in the field, but there seems to be a new urgency around the issue. As the industry grapples with challenges posed by fraudulent responses, disengaged participants, an […]
5 steps to create an effective data quality management strategy
Data quality management (DQM) is a structured process for managing quality, checking validity, and maintaining integrity of market research data. The process covers the full workflow, including how study participants are vetted, and how data is collected, stored, processed, analyzed, and presented. Why is DQM important? Data is the most important asset a company has […]