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

Vexed by significance testing? Try the bootstrap technique
Significance testing can be difficult to teach and learn. This article explains how the bootstrap technique is simple to use and understand, valid and valuable-in hypothetical and real-world application. Though not new, the technique is becoming newly accessible to a majority of market researchers with varying degrees of computing resources.
A guide to offshoring back-office operations
For research companies considering offshoring some of their operations, the author offers an in-depth look at the many issues and factors to consider, including the host country’s cultural practices, technology and infrastructure, and business and government environments.
Software Review: Ruby tabulation software
Pros: • Crosstabs and charts of every kind from large or complex datasets, and so much more • Quick and efficient for a DP specialist to use, with a choice of GUI access and scripting • Push-pull integration with Excel and Power Point for report preparation and automation • Superb proprietary charting to visualize MR data more effectively than in Excel or PowerPoint •Excellent support for managing trackers; Cons: • Interface is bewildering to beginners; a steep learning curve • No simple Web browser interface for end users or to provide clients with portal access to studies; Cost: Full version is $4,800 (USD) for a single-user annual license (allows setup); additional analyst versions are $2,400 (USD). Volume discounts available.
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.
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.

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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.

Quant or qual, let’s go back to the basics
Research is more than procedures and computations. It's also a way of thinking. Kevin Gray provides steps for getting back to the basics of data quality.
Shopper marketing in 2020
Sarah Gleason looks at the evolving nature of the shopper marketing function and outlines a future filled with challenges and opportunities.
Why people come before data every time
A director of data visualization offers her strategies for shaping and presenting research information.
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.
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.

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