In the words of Rod Stewart – every picture tells a story. At MSI we’re constantly bantering about social media, which sites will make it, which ones will die a slow death. So we decided to take a deeper look at a variety of social and technology trends in 2013. And we’re going to tell that story with pictures. Our first foray was a look at the social media sites with the largest followings. And in order to tell the story, we used a tried but true method of having consumers associate “faces” of consumers with the sites. A total of 10 pictures were used to get out the faces and personality of the major social media sites.
There was a time when collecting quantitative data, more often than not, involved a conversation. And the conversation was a game where the respondent seemed to hold all of the cards. A lengthy interview, a poorly worded question, a missing response option – all represented excuses for the respondent to dismiss you by hanging up or otherwise ending the interview.
Can you tell I was an interviewer?
At that time, phone pretests often involved a painful process of listening to hours of rejections and hang-ups…but the result was invariably worth the price – a survey that more accurately collected the intended data. READ MORE→
At the risk of sounding like my grandfather, I’ve seen a lot of change in my career in terms of the speed at which we can deliver insights. Back in the day, we used to send tabs and reports to clients via snail mail. No, we didn’t use the Pony Express, but compared to today’s technology standards, it seems as though we weren’t far from that. ☺
I know I’m stating the obvious when I say that the advent of online interviewing brought a dramatic change in the speed at which we can collect data and deliver insights. And with lightning-fast capabilities sometimes comes the perception that we should collect vast amounts of data as fast as we can, maybe in just a couple of days at most. I understand that perception. And I understand the need for speed to insight in today’s world. But is faster always better? READ MORE→
Recently I have read a number of articles about Big Data Scientists. Actually, they have been about Scientists, Analysts, Researchers, etc. Nobody knows what to call them, so I’ll use the term “Scientists.”
And similarly, no one seems to agree on where they come from (or where they should come from). The arguments range from IT, Business Analysts and Statisticians to Social Scientists. As I read these debates, my gut reaction was to believe the best data scientists will come from the social sciences. READ MORE→
Right now Big Data is REALLY big – HUGE even (don’t you hate that word). Not a day goes by without someone posting a blog or writing an article on the value of Big Data. And why shouldn’t they? The reality is that all of our clients are sitting on huge amounts of information about their customers and prospects – yes, terabytes and terabytes as most are fond of saying. The value of this information is immeasurable. And when we can derive actionable insights from this data the return is immense. The data itself is free (although sometimes integration of multiple databases can be a challenge) therefore insights gleaned from this data can have a major impact on our product development and customer experience initiatives without requiring significant financial resources (OK, I realize that the advanced analytics aren’t cheap, but they are relatively inexpensive in the grand scheme of things).
But is Big Data really big enough to drive truly actionable market insights by itself? READ MORE→
In marketing research, we are frequently faced with getting answers faster and for less investment. In the current business climate, we have become all too familiar with the term “Doing more with less.” Along those lines, buyers of marketing research frequently face situations where there are fewer human resources available or less budget, yet the demands of stakeholders remain unchanged. When confronting such resource-restricted situations, one becomes tempted to rely on silver-bullet solutions in order to meet objectives. However, in life, there are rarely quick fixes or magic bullets that adequately serve our needs completely. So what does one do to ensure that we are delivering on objectives in spite of a limited pool of resources? READ MORE→
As defined by Webster’s Dictionary, evolution is a process of continuous change. Webster’s Dictionary defines revolution as sudden, radical or complete change. In other words, evolution occurs gradually over a period of time, while revolution is immediate. Within the scope of modern-day marketing research, we often read that given today’s digital age, we are experiencing a revolution. Considering the current technological times, which would apply more accurately – evolution or revolution?
The question of evolution versus revolution applies not only to marketing research, but also to everyday behavior. In order to stay concise, let’s take three examples: READ MORE→