In the first part of a two part series, Kevin Mabe, Chief Analytics Officer for Corus, talks about determining a purpose for market segmentation studies, and the benefits of performing this type of analysis.
In the third part of our "Hard Math with Kevin" series with Kevin Mabe, our Chief Analytics Officer, we dive into the final analysis of a predictive model
Checking the robustness of your models is just as important as setting up the models correctly. Kevin walks us through how to avoid the pitfalls there.
The second part in a three-part video series about predictive modeling. Kevin addresses the Confusion Matrix, and some of the common mistakes made at this stage.
Predictive modeling is hard. Thankfully our Chief Analytics Officer Kevin Mabe is here to help.
The good folks at Insight Platforms chose Corus as one of the best research marketplaces available"It's ambitious, and one to watch"
In our ongoing video blog series, Kevin tackles the basics and not-so-basics of predictive modeling.
All facets of business can benefit from predictive modeling. However, getting that analysis correct is challenging. Most don't take the time to do it correctly, or in some cases haven't even been shown the proper methodology.
It also used to be expensive. Corus is changing that.
In the toolbox of the market researcher, few things are as powerful as a well done conjoint analysis. In this article, we will dive into the why and the how of this particular market research tool.
As part of our ongoing series, meet our sales guru, Ben Blackburn
- Tell us a little bit about yourself and your background:
I am from the Midwest and have lived in Texas, Utah, and now Colorado. I enjoy traveling and have visited 9 countries outside of the US so far. I really enjoy learning about history and culture, and have been able to see some impactful historical sites like the Vatican, the site of the Berlin wall, and Pompeii to name a few.
Cue the Jaws music...
Univariate Analysis is a huge part of market research, and survey analysis in particular. In this episode Kevin Mabe, our Chief Analytics officer, goes through an example dataset and then the analysis afterwords, and shows that once again first impressions are not always right. Enjoy!
Recently Greenbook put out its 2018 “GRIT Report” (Greenbook Research Industry Trends) regarding their observations of the market research and overall research space for the year, and trends moving forward.
We found this to be a particularly interesting piece, and thought it might be beneficial to share some of our thoughts here. The full report can be found here.
In the latest episode of our ongoing series "Hard Math with Kevin" - our Chief Analytics Officer Kevin Mabe goes through a forecast using our sample time series analysis, and how the addition of a potentially statistically significant variable can change the overall forecast.