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 […]
Leveraging dtect as a field management strategy for a competitive edge
You can’t go 5 minutes in market research without hearing someone talk about “data quality.” Yes, it’s paramount to business success. Poor-quality data can lead to inaccurate insights, wasted resources, and, ultimately, flawed business decisions. But it is such a huge topic that the day-to-day realities of market research firms don’t include much luxurious downtime […]