Observational data is a tempting shortcut for insights but researchers must consider its potential shortfalls.
A look at the challenges and opportunities in understanding unstructured big data from video and images.
Marketing Scientist Kevin Gray discusses the future of big data with Professor Koen Pauwels.
A early look at the Top Challenges & Opportunities section of the upcoming Q3-Q4 2017 GRIT Report, including the growing role of emerging technologies and changing landscape of the market research industry.
Marketing scientist Kevin Gray asks Dr. Randy Bartlett of Blue Sigma Analytics what Data Science really is and how it can help decision-makers.
Machine learning is a buzzword in the industry. Brooke Patton explores how its adoption can help market researchers reduce timing and costs, and some of its challenges.
Personal data has been described as the "new oil" that will drive the economy of tomorrow, but it's being treated as a commodity rather than a precious resource. We need to start developing models that incentivize and reward individuals for contributing to the data economy.
From big data to predictive answers and targeting, machine learning technology is changing the market research industry.
Though it doesn’t get a lot of buzz, sampling is fundamental to any field of science. Marketing scientist Kevin Gray asks Dr. Stas Kolenikov, Senior Scientist at Abt Associates, what marketing researchers and data scientists most need to know about it.
To succeed in attracting advertising spend, publishers need to drastically expand their ability to provide the self-declared data that Facebook, Google, and more have made commonplace.
