Learn About Data Processing For Marketing Research

Related Articles

There are 65 articles in our archive related to this topic. Below are 5 selected at random and available to all users of the site.

Trade Talk: Two new books on mind-mining; plus a look at Boomers

This article reviews three books: How Customers Think, Moderating to the Max, and After Fifty—How the Baby Boom Will Redefine the Mature Market.

Discrete choice modeling: Understanding a "better conjoint than conjoint"

Since its introduction 20 years ago as an innovative new way to determine consumers’ true product and service preferences, shortcomings have been discovered with conjoint analysis. This article discusses discrete choice modeling, which was developed as an analytical technique to resolve the problems with conjoint analysis.

Data Use: Darwinism and data

An overview of the history of data handling and analysis.

Segmentation models and the overfitting problem

Predictive segmentation modeling techniques vary in regard to the size of the sample needed to achieve a given level of reliability. This article discusses model building that captures innate systematic processes rather than discrete, temporal events, or those that are sample-specific or peculiar to a given sample.

Take these steps to build your research on a solid foundation

Beyond getting the right sample, researchers conducting online surveys face a host of obstacles, from harder-to-reach consumers to the speeders and cheaters who lurk among the pool of willing respondents. Here are 10 topics to cover with your sample provider to help improve your odds.

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Recent Articles

Below are the 5 most recent articles on this topic. These articles were published within the last three years and are only available to registered subscribers.

Software Review: Qi

Tim Macer reviews Qi, a dashboard-building tool for data exploration, review and collaboration.

Data Use: Reconciling Hispanic product evaluation ratings

This article looks at a method for measuring the cultural component imbedded in Hispanic product ratings and how to combine survey data from Hispanics and non-Hispanics.

Five pitfalls to avoid for successful linkage analysis

Whether simple or complex, the linkage process is fraught with potential perils. This article outlines five of them and offers strategies to work around them.

Four steps to improve customer satisfaction and loyalty

The author explains how to interpret customer satisfaction scores and how to use these scores to improve customer satisfaction in four steps.

Data Use: A new approach for profiling brands and analyzing competitive information

The author lays out ways to avoid some of the problems that accompany reliance on indices to develop brand profiles.

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