FREE IBM White Paper: The How's and Why's of Survey Research

Discover the seven steps to better survey research - and discover how predictive analytics can take it to the next level. Get the white paper now.

Organizations today rely on survey research to learn much-needed business intelligence. Surveys can help you understand customer preferences about a particular product, gauge employee satisfaction, identify market opportunities and much more.

But survey research is much more than simply asking someone a few questions. It's a multiple step process with a clearly defined protocol at each step. In order to get reliable results from your survey research, you must be able to plan the survey research project, collect data, access and manage the data easily, as well as report the results. IBM SPSS predictive analytics can help ensure your research project is a success, allowing you to confidently share your results with the decision-makers who can act upon them.

In order to be effective, surveys need to be:

Clearly defined - before beginning, you need to be able to state the goals and objectives
Easily completed - the respondents must be able to easily understand and follow your questions
Smoothly processed - before you can begin analysis, the data must be cleaned and valid
Thoroughly analyzed - to get useful, reliable results, you need to be able to thoroughly analyze your data
Timely - the time between planning and deployment must be short enough to make a difference to your organization

This white paper discusses survey research by breaking it up into a seven step process - and clearly detailing how you maximize your efforts every step of the way. At each stage, it also shows how IBM SPSS predictive analytics technology can improve your results and make the entire survey research process easier and more effective. The examples provided are commercially oriented, but also apply to the public sector.

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