This session will feature three brief presentations that center on issues of fraudulent response and data quality followed by a moderated discussion about emerging trends and advice for market researchers to combat threats and ensure data quality.
How to Fight the Rising Tide of Fraud in Market Research
A recent spike of fraud has brought heightened attention to the serious risks for the efficacy of the market research practice. As fraudsters become more sophisticated, the threat should be on every researcher’s mind.
DISQO’s Bonnie Breslauer will discuss the shapes and sizes of fraud, dive into the consequences of fraudulent projects and share practical anti-fraud measures to face it directly.
Innovating, Standardizing, and Automating the Data Cleansing Process
Researchers have long been aware of the threat posed by disengaged or fraudulent responses to the integrity of online panel surveys. Yet, most businesses still rely on its efficacy without scrutinizing its accuracy.
Data scrubbing - the process of manually fixing or removing incorrect, corrupted, incorrectly formatted, fraudulent, or incomplete data - is crucial as the wrong data can drive a business to wrong decisions, conclusions, and poor analysis. Yet the lack of a standardized, automated process means that companies are making impactful business decisions without knowing whether data is truly ‘clean.’
Hear of the advancements in machine learning, NLP, and neural networks that are helping curb fraudulent online activities, verify data accuracy, and automate review processes with Tim McCarthy of Imperium
How to spot a bot? Four easy ways to cull bad respondents
Learn of the scale of bots in MR and how to spot and stonewall bad respondents; where and when QA measures make the biggest impact; what can be done by research buyers, MR firms and panels with Josh Rosenblum, Synqrinus Inc.