Posts Tagged ‘DataQuality’
Our 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 MoreWhy B2B Research Is Falling Behind and What It Needs to Catch Up: Paradigm’s Take
Many teams are gravitating toward quick-turn, high-volume panels but this can make it harder to identify high quality panels. When it comes to B2B studies, it can be easy to overlook the nuance and specializations that can be represented in the ecosystem. When representing B2B in research, often teams struggle to avoid generalizing the range…
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 MoreThe State of Data Quality: Collaboration, Transparency, & Trust
Reflections from “Solving Data Quality Challenges” on the Data Gurus Podcast As AI tools, programmatic sampling, and synthetic audiences reshape how research is conducted, one truth is becoming clear: data quality cannot be a single-stage problem. It’s a full-lifecycle responsibility. In a recent episode of Data Gurus, host Sima Vasa brought together industry leaders Dyna…
Read MoreParadigm Named a Top Sample Company in Quirk’s September/October 2025 Issue
We’re proud to share that Paradigm has been recognized in the September/October 2025 issue of Quirk’s Marketing Research Review as one of the 7 Top Tracking Search Companies. This highlights the hard work of our team and the trust our clients place in us to deliver quality insights. At Paradigm, we specialize in online data…
Read MoreData Quality at the Center: Takeaways from CRC2025
Last week, we attended CRC2025 by Insights Association and there continues to be a consistent theme from the conference. “Insights are only as strong as the data behind them.” From keynotes on leadership and change to panels on fraud detection and sample integrity, the sessions underscored a shared truth: while what it takes to have…
Read MoreParadigm Sample and Interbrand Release 2025 Role of Brand Report
If you don’t define your brand’s role, your customers will. When you uncover your true role of brand, you gain the ability to shape perception, drive loyalty and command choice. Interbrand and Paradigm Sample are excited to announce the release of its 2025 Role of Brand Report, offering fresh insights into how brand perception drives…
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…
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