Data Processing

We've grouped together all the information our site contains on data processing to help you quickly and easily find related articles, suppliers, 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.
Data Use: A good choice for choice modeling: Maximum difference scaling lets researchers present respondents with large numbers of choice options without making the process onerous. The article uses examples of a hotel loyalty program and restaurant menu optimization to show the technique in action.
Rapport and reports - what matters to health-care research end users?: Researchers from Observant LLC and Pfizer explore what the key satisfaction drivers are among health-care and pharmaceutical end users. Results suggest anticipation of needs, excellent rapport and boardroom-ready reports matter most.
By the Numbers: How to improve your segmentations with max-diff: The author uses a checking-account example to show how maximum difference scaling, or max-diff, can deliver finely-tuned segmentations without subjecting respondents to an onerous number of comparison questions.
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.

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There are 70 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.
Six questions to ask your supplier about multivariate analysis: The author presents six questions that consumers should ask suppliers of multivariate analysis. Issues addressed include the cleaning and handling of data, the program and process for analyzing the data, the presentation of the final project, and the potential for repeat analyses.
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.
Ten research industry secrets and how to handle them: Research is increasingly being done by vendors rather than an in-house research department. This article discusses 10 industry secrets, including tips for handling vendors.
Simulation, intuition & jargon: Using results from multiple computer-generated simulations, this article discusses basic statistical significance testing ideas.

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Related Glossary Terms

Data processing: The organization of data for the purpose of producing desired information; involves recording, classifying, sorting, summarizing, calculating, disseminating and storing data.

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Related Associations

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Related Events

GARTNER BUSINESS INTELLIGENCE SUMMIT: April 12-14, 2010; Gartner will hold its business intelligence summit on April 12-14 at Mandalay Bay Resort and Casino in Las Vegas.
SKIM/SAWTOOTH SOFTWARE EUROPEAN EVENT 2010: May 26-28, 2010; Together SKIM and Sawtooth Software will hold the annual European software conference on May 26-28 in Cologne, Germany.

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