Data Processing

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: Toward a more optimized kind of revenue optimization

The author reviews traditional applications of revenue optimization and offers an improved method that uses a multivariate approach.

Helping wrangle big data: Monte Carlo for marketing research

This article walks readers through an example of a Monte Carlo simulation and details how this methodology is useful for marketing researchers looking to manage big data and compete with predictive analytics.

Considerations in using the Kano method for international new-product surveys

A report on a research-on-research project involving potential problems with using the Kano method for international studies.

Data Use: Bayes nets: Understanding the best newest thing - Part II

In the second part of a two-part series on Bayes nets, Steven Struhl explores their capabilities and outlines what to look for in a Bayes software program.

Data Use: Bayes nets: Understanding the best newest thing - Part I

In the first of a two-part series, Steven Struhl explains what Bayes nets are and why researchers should care about them.

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Related Articles

There are 140 articles in our archive related to this topic. Below are 5 selected at random and available to all users of the site.

Finding an optimal mix

Pharmaceutical marketers spend promotional dollars in various ways hoping to increase sales. These promotional dollars are typically allocated to samples, office detailing, hospital detailing, DTC advertising and journal advertising. This article examines the impact of these five promotional mix variables on pharmaceutical sales dollars.

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.

Data Use: Bayes nets: Understanding the best newest thing - Part I

In the first of a two-part series, Steven Struhl explains what Bayes nets are and why researchers should care about them.

Advertising effectiveness: what it is, what it isn’t and can it be reflected by one number?

A research analyst chronicles his quest to find a simple and flexible way to measure and define advertising effectiveness.

Survey and sampling in an imperfect world

This article addresses the demands that arise in a random sample survey and their effects on sample, offers solutions, and proposes stratified random sampling as an alternative to help achieve the same level of accuracy as computed on a simple random sample with a reduced sample size.

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Specialties

• Coding
• Data Conversion
• Data Crosstabulation
• Data Entry
• Data Processing
• Factor Analysis
• Forms Processing/Scanning
• Software-Data Delivery Tools
• Software-Data Tabulation
• Statistical Analysis

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