I love that IBM SPSS Statistics allows you to run complex analyses like MANOVA or factor analysis without needing programming knowledge, thanks to its point-and-click interface. The 'Data View' vs. 'Variable View' setup is super helpful for keeping datasets clean, especially with a lot of survey responses. It's excellent for handling large datasets, much better than Excel. The 'Syntax' feature is fantastic for automating repetitive tasks without having to delve into full Python or R, making it much easier. SPSS is also very reliable, and I trust the math and the outputs, which means something in peer-review scenarios. The appeal of SPSS is its incredibly low barrier to entry; if you can use a menu, you can perform high-level statistics, which is impressive. It's an absolute workhorse for getting reliable statistical proof for business cases. If my friend is a researcher who understands statistics but hates programming, SPSS is a 10/10 because it allows running complex models with just a few clicks. Review collected by and hosted on G2.com.
The UI feels like it’s stuck in 2005, and it's clunky. The licensing process is a headache every time I have to renew, and the price is astronomical if my university or company isn't covering it. The visualizations look dated right out of the box, so I usually have to export the data to other tools like Tableau or PowerBI to make it look presentable. It can also be slow when working with truly 'Big Data' (millions of rows). The initial setup can be frustrating, especially the licensing part - even a small error in entering an authorization code can prevent activation. Review collected by and hosted on G2.com.
