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.

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.

Data Use: Telling the future from the past: predictive versus classical statistics: This article compares and contrasts predictive and classical statistics, making the case that predictive methods offer an effective way to use current data to make statements about future data.
Considerations in quantitative data collection in China: Conducting commercial quantitative research in China presents methodological and cultural issues that either don’t exist or that have already been solved in Western society. Researchers must take heed in this relatively-virgin territory and adapt their strategies to cater to China’s unique circumstances.
How important is the respondent’s perception of survey length?: Can you improve respondents’ feelings about the survey experience by using more interactive question types? This and other related topics were investigated by three market research firms and they report their findings here along with offering questionnaire design tips.
The value of consistency auditing of online panels: Using findings from an ongoing study of global online panels, the authors make the case for the importance of understanding the impact of sample sources on market research results.
By the Numbers: Why your customer satisfaction surveys are not actionable: Your internal clients are busy. To give them the customer satisfaction data they need, the authors suggest, you must make the information relevant and easy to act upon and tie it to a specific economic consequence.

See more articles on this topic

There are 40 articles in our archive related to this topic. Below are 5 selected at random and available to all users of the site.

Data processing made easy: 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.
Data Use: Weighting survey data: Data weighting, or sample balancing, is both under- and misused. This article discusses data weighting, providing descriptions and examples that may foster more effective use of the technique by researchers in a variety of organizations.
Custom store audits: While the introduction of scanner equipment has proved useful in sales information collection, it does not provide a complete picture. This article discusses the value of custom store audits as an alternative for collecting information beyond sales data.
Study tracks trends in refusal rates: This article discusses the “Your Opinion Counts” National Steering Committee’s 1988 study of survey respondents’ refusal to be interviewed, providing a comparison to the benchmark study conducted in 1985.
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.