Data Quality
GDQ: Data Quality Benchmarking Wave 2
We’ve submitted our data to Wave 2 of the Insights Association Data Quality Benchmarking Project! At Paradigm Sample, data quality is built into everything we do, from our Veraproof technology-driven validation framework to human-in-the-loop data review, all while keeping respondent experience at the core. Improving data quality is something our entire industry has to work…
Read MoreOur Human-In-The-Loop Approach to Data Quality
Data quality has become one of the biggest and most underestimated risks in research today. At Paradigm, we champion data quality excellence through human oversight, transparency, and collaboration across the integrated insights ecosystem. Our team frequently takes surveys to gauge the respondent experience to ensure we balance the risk of fraud the overall respondent experience. …
Read MorePreventing Fraud Before it Happens
Paradigm’s philosophy centers on prevention, not just detection. Our approach is built on several core principles: Client-Centric Approach Every project is unique. We tailor tools, quality checks, and parameters to meet each study’s specific goals and audience characteristics. Reliable Data Starts with Reliable Partners Paradigm is building a Partner Evaluation Framework that integrates performance metrics from…
Read MoreParadigm’s Integrated Approach to Data Quality
At Paradigm Sample, we take a holistic approach to data quality that combines technology, human judgment, and process discipline. Across every phase of the fielding process, our Veraproof Suite is much more than a technical implementation it’s a methodology that combines best in class proprietary and 3rd party tools into an overall process designed to ensure…
Read MoreExploring the influence of AI and Synthetic Data at ESOMAR NA 2025
This year’s ESOMAR North America conference highlighted a central theme: exploring the landscape of research as it is increasingly shaped by AI and synthetic data. Whether leveraging AI for generating outputs or synthetic data for forecasting election results, there we see a strong a connection to how Paradigm approach’s data quality in quantitative sampling. AI’s…
Read MoreParadigm signs the Global Data Excellence Pledge
Global Data Quality (GDQ) Pledge – a global collaboration led by organizations like MRS, ESOMAR, Insights Association, SampleCon, and more. Its core purpose is to establish a global, cross-industry standard for trustworthy, high-quality data -especially in market and social research, analytics, and insights. This pledge upholds our dedication to data quality as it requires a…
Read MoreParadigm Sample: Elevating Data Quality & Expanding Reach
At Paradigm Sample, we’re committed to delivering top-tier data solutions by continuously evolving our technology and strategies. Over the past year, we’ve made game-changing advancements to expand consumer reach, enhance security, automate processes, and improve targeting, ensuring that our clients receive accurate, high-quality insights—faster than ever. Expanded Consumer Reach & Engagement We ramped up…
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