SPSS Statistics enables users to simply and intuitively take control of their statistical needs. Some of the ways that organizations can benefit by choosing to deploy IBM SPSS Statistics include: It wouldn't have to tell you exactly what you need to do, but it would be helpful to have something that points you to what needs to be done in order to make the data more compatible with SPSS. In the future, I would like to see some a template tool or a data-screening tool that would assist with identifying where and how a data set needs to be cleaned. You can't just plug any data into SPSS and say "Go." It has to be properly formatted and cleaned before it will be used. There is a steep learning curve, but it's worth the time. IBM claims it is easy to learn, use, and apply, but it's not. Generally, it's a challenging piece of software to use. It was way too time-consuming and difficult. SPSS has functions to edit and change color, font, spacing, etc., but it's unbelievably fiddly, and I gave up. My consultants expect glossy, readable charts, graphs, tables, etc.
I'll typically take the output data and recreate the chart in Excel.
The output of charts and graphs that SPSS produces is hideous. That said, it does seem a bit strange to me that the graphical output functions are so clunky after all these years. SPSS is a tool that's been around since the late 60s, and it's the universal worldwide standard for quantitative social science data analysis.
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