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Learn About Data Processing For Marketing Research

We've grouped together all the information our site contains on Data Processing to help you quickly and easily find related articles, companies, events, jobs, associations, glossary definitions and more.

Related Articles

There are 87 articles in our archive related to this topic. Below are 5 selected at random and available to all users of the site.

Changes in survey design that will make your data entry and processing go smoothly
This article offers advice on how to prevent common data processing problems by taking preventative measures during the survey design process. The examples presented address telephone surveys, but the same principles apply to surveys conducted in malls, through the mail or any other data collection technique.
Automating the coding process with neural networks
To overcome the cost and accuracy disadvantages of manually coding open-end questions, researchers can apply computer algorithms based on neural networks, an aspect of artificial intelligence which simulates the human brain’s ability to learn. This article describes such a program and a field test’s results.
Data Use: 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.
The use, misuse and abuse of significance
Researchers often misuse and abuse the concept of significance, tending to associate statistical significance with the magnitude of the result. This article suggests an alternative. When comparing numbers, consider two types of significance: statistical and practical.
Data Use: Regression regression
Much has been written recently about using regression analysis in marketing research. This article addresses some of the fundamental underpinnings of regression analysis, irrespective of particular applications.

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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.
Two ways to visualize 'small data'
Data visualization tools designed for big data can also work well with primary research. This article details two different approaches.
Big data matters: Why you should be using it and how others already are
The author argues that researchers should include big data in their research design and offers several real-life examples of how companies have successfully applied big data analytics for marketing.
Data Use: Instead of big data, try value data
To get the most out of big data, isolate the customer-centric metrics that are critical to your firm’s business processes.
Why people come before data every time
A director of data visualization offers her strategies for shaping and presenting research information.

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