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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