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Data science involves extracting insights from complex and unstructured data, often using statistical, mathematical, and computational techniques. With the advent of big data, researchers must access even larger datasets to inform decision-making.
Discover the potential impact of synthetic data for surveys and explore the controversial development of generative AI in market research on our websi...
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This article discusses how the online sampling ecosystem favors professional respondents and bad actors. It advocates for a transformative shift towar...
Some marketing data science directly competes with traditional marketing research areas and many marketing researchers may wonder what the future hold...
The digital healthcare industry in Asia Pacific is predicted to be one of the fastest-growing in the world.
Tech, agile, emotional measurement, and more.
Observational data is a tempting shortcut for insights but researchers must consider its potential shortfalls
How to better connect with partners through empathy.
Uncovering and decoding the shopper’s journey.
Trusting consumers to be honest with their experiences to yield truthful research results can be tricky.
Using data journalism to bridge the gap between analysts and decision makers.
A look at what the rise in popularity of voice-enabled products means for FMCG.
More researchers are turning away from massive surveys and are embracing the power of actual conversations
Cutting down big data down to size to extract actionable insights
Explore the latest thinking in qualitative and big data at ESOMAR Fusion
MR has the potential to lead in guidance and assessment of new digital programs
Big data and AI have been integrated into many business applications, including some in MR
Fusing predictive analytics with market research to offer cogent, compelling conclusions
Understanding the buy plus why at the speed of your business
New software can potentially facilitate campaign analytics and driver analysis of panel data, cutting time and effort dramatically.
Using data to identify triggers and maximize reach of highly-valued, targeted segments
The challenges & opportunities in understanding unstructured Big Data from video & images
Marketing Scientist Kevin Gray discusses the future of big data with Professor Koen Pauwels.
How to become a data analyst and its opportunities for the future.
A sneak peek at the Top Challenges & Opportunities section of the upcoming Q3-Q4 2017 GRIT Report.
Marketing scientist Kevin Gray asks Dr. Randy Bartlett of Blue Sigma Analytics what Data Science really is and how it can help decision-makers.
Brooke Patton explores how machine learning can help market researchers reduce timing and costs, and some of its challenges.
In a new economy driven by personal data, we need to 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.
Learn the fundamentals of sampling with this interview of Stas Kolenikov by Kevin Gray.
Publishers need to drastically expand their ability to provide the self-declared data that Facebook, Google, and more have made commonplace.
How do researchers balance big data in a time-starved world to deliver timely insights?
What is the Internet of Things (IoT) and what does it have in store for the future?
Experimentation is an often underutilized tool in research that should be used more often to test ideas to see if they truly work.
Professor Michael Wedel on the changing world of marketing analytics, and what market researchers most need to know about it.
Data science software maker Dataiku explores the types of data problems facing retail and the steps to take to become more data driven.
Visualization of social networks can make sense of Big Data and convey the results of analyses through emerging, open-source programs.
It’s not data that should drive marketing; it’s the needs of your product.
A sneak peak at the Q3/Q4 GRIT Report looking at the buzz topics in market research. Which are gamechangers and which are just hype?
Ray Poynter details the adoption level of 21 emerging research technologies as an excerpt from the forthcoming Q3/Q4 2016 GRIT Report.
GreenBook and the ARF discuss the ramifications of this election.
Why don’t best practices work and what is the better way? Explore why you should look beyond them.
Of the 3,975 unique links shared on the Twitter #MRX hashtag over the past two weeks, here are 10 of the most retweeted…
Introducing MR Realities, a series of podcasts focusing on the realities of Market Research.
Of the 5,625 unique links shared on the Twitter #MRX hashtag over the past two weeks, here are 10 of the most retweeted…
The availability of data itself does not resolve marketers’ consumer information issues. They need to turn it into actionable insights.
Martech is clearly a major force to reckon with, so the question for insights professionals it this: what is the right lens to apply when looking at M...
As the designer and developer of a qualitative smartphone platform, the prospect of big data seemed really scary to us at first.
We suggest that Big Data will enhance the reach of the survey research industry, not replace it.
Analytics means different things to different people, and sometimes different things to even the same person. Here is my take.
This new environment may provide opportunities to improve research methods by huge leaps but it may require a completely different focus.
This article explores analytics, big data, and their impact in and outside of sports; and why the Browns are exploiting the power of data.
The Festival is online so that people who can’t attend face-to-face events can catch up with key presentations and discussions.
If big data isn’t the key to understanding what our customers’ want then why don’t we just ask them?
The next year looks to be an exciting time for research suppliers and clients alike.
Big Data is only half the job. Thick Data fills the gaps and enables truly people-shaped or human-centred development and visceral business.
Attempts to get closer to “truly 360-degree measurement” are always appearing, but they bump up against hard, cold realities.
Technology-driven changes over the next ten years will be much bigger and the impact on your life, the lives of your friends and colleagues.
Market researchers today are under pressure to perform, in spite of shrinking budgets, a glut of data sources, and new technologies.
Emily Fullmer discusses the multitude of benefits that an open-data platform could provide for your company.
The road to Big Data is paved with the challenging work of cleaning, preparing, and integrating systems that were designed in silos.
The top five trends in qualitative research for 2015.
My advice to the market research world is to stop conceptualizing so much when it comes to Big Data and Data Science and simply apply the new techniqu...
Brace for the flood of Marketing Apps. The Appification of Marketing is on its way.
Data residing in silos is one of the biggest challenges for the market research industry.
Social media data are quantitative and predictive. We must create research protocols to harness their full transformative power.
The Synergist won’t settle for a seat at the table; he/she will be sitting at the head of the table.
Big Data holds tremendous promise and opportunity to those that wield it responsibly.
Ethical concerns with big data analytics are outweighed by enthusiasm for greater insights and optimism for potential new discoveries.
To cultivate greater intimacy with our research participants, we have to think of new ways to create more human relationships with them.
Marketing research should inspire brand ideas to a large number of targetable audience members.
After a whirlwind first day of exciting innovation opportunities, participants at the IIeX NA conference were eager to begin Day 2.
The death of the newspaper is eerily similar to the impending fundamental changes to the legacy of the Marketing Research Industry (MRI). Customers wi...
After this Social Media Week 2013, I’m walking away with a sense of the growing importance of context not only as a researcher but as a marketer.
Big Data: With major players offering both platforms and professional services, can MR agencies compete in this explosive new space?
It turns out that not all trade associations are what we may think they are – fighters for truth, justice, etc. Some exist for the benefit of its memb...
The emergence of social media, big data and other technologies forces MR to finally confront the limitations of the traditional paradigms.
I recently attended the Esomar 3D conference in Amsterdam and, unsurprisingly, much of the content focused on emerging technologies and techniques. I ...
Big Data’s promise relies on assumptions, none of which may be valid (or, in fairness, may not be valid today but might be in the future).
Last week’s Sentiment Analysis Symposium packed an astonishing amount of high quality content from top flight presenters into a single day.
Big Data has to be one of the buzzwords in MR over the past 12 months. Should Market Researchers be worried about being outflanked?
An in-depth interview on the best practices in MRX.
The definition of market research is expanding. MR is evolving from an ugly duckling to a beautiful swan.
Whatever the future, the research industry can choose to lead the way, so long as it remains open to change.
Of the 1,910 unique links shared by the #MRX community in the past two weeks, here are 10 of the most retweeted.
Ruben Alcaraz examines a few elements unique to the retail sector that, when ignored, can render the methodology or study entirely moot.
If you’re in the market research industry, the lesson is be careful –because while you might feel safe and secure at the moment, things can change dra...
How can market research position itself in the age of technological disintermediation? Here are a few thoughts by Jason Anderson.
Why are we screening out people so badly in research studies? Especially where you can avoid these screeners?
Annie Pettit live blogs select sessions from the Market Reseasrch in the Mobile World Conference in Cincinnati.
Big Data is set to be the biggest disruptive change that market research has seen since the arrival of the telephone.
Announcing the results of a new study on issues impacting marketers in the areas of data collection, marketing measurement, and integration.
Real-time strategic marketing models that shift based on what is happening right now and estimate what will happen further down the timeline
Dana Stanley of Research Access has written a brief on this inaugural webinar and I’ve reposted it below. The topic is “Turning Big Data from a Headac...
Since I finally accepted the truth that I have become a brand, I’ve become increasingly aware of the parallels between my own journey and how companie...
Technology is changing faster than consumers. Consumers are changing faster than organizations. Organizations need to catch up with that.
Many researchers writing for the press and the blogosphere these past few weeks drew their inspiration from Janus, the two-faced god who looks to the ...
A public forum debate on the topic of data privacy so that the whole industry can get involved in this important discussion.
A look at three pioneering companies that are great examples of where market research/strategic business intelligence is moving towards.
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