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There’s no need going into the company’s history. You saw those three letters and you know that we are dealing with one of the giants in the computer industry. IBM has been around for a while now and has introduced game changing products. They have even ruled the market at some periods, so you know this has got to be good.

They released version 24 of their statistical analysis program, SPSS Statistics, early 2016. This time, they took their users opinions to improve some of the features and add some new ones. This is a guarantee that it will give its users just what they need.

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This statistical program includes several types of analyses, reporting capabilities, import/export from Excel or CSV files, the possibility of including new features through add-ons, and integration with such languages as R and Python, just to name a few.

Key Features

• Performs statistical analysis on your data sets.
• It has reporting capabilities so you can communicate your results in a professional way.
• Import/export data with an Excel or CSV format. This feature has been improved to reduce the time it takes to perform the task.
• It has an easy to use user interface.

Advanced Features

• You can take advantage of the over a hundred extensions available. These manage things like the integration with R and Python. If you don’t find exactly what you’re looking for, create your own extension. You could even share it with the world.
• There are some add-ons available that will let you expand the program’s capabilities.

Pricing

Prices start at USD 99.00 per month (each user)

There are a series of add-ons that you can get to include new features, like Custom Tables and Advanced Statistics, for example. You have to pay additional for them and the prices are per user on a monthly basis. They cost USD 79.00

If you’re not comfortable with a monthly license, you can prefer the one-time purchase option. Version 25 is already being offered on the program’s official site, you can go there and check the updated prices.

System Requirements

• Operating systems:
• AIX 6.1 or later
• Linux: Red Hat Enterprise 6 or 7 (both client and server), SUSE Enterprise Server 11 or 12, Ubuntu 14.10 or 14.10 LTS.
• Mac OS: OS Yosemite, Capitan or Sierra.
• Windows: versions 7, 8, 8.1 or 10, any of their variants, both 32 and 64 bits. Windows Server 2008, 2008 R2, 2012 and 2012 R2 are also supported.

Pros

• It’s available for various operating systems.
• It’s easy to use and has a user-friendly interface.
• Performs statistical analysis and can integrate with R and Python.

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Cons

• Some users report problems when loading large data sets. They mainly complain about how much time it takes.
• It’s not an affordable program, it can be quite expensive for some users.
• If you need to run more complex analysis you will need a second tool get the job done.

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This s a pretty good statistical analysis program. For this version IBM did something users only wish for with another program: they listened to their opinions and used them to make improvements on the previous version. The result is a program that will be very helpful if you need to analyze some data and then present your findings since it has – among other things – reporting capabilities.

Although there are some complaints about its performance when dealing with larger data sets, it still remains a powerful program that is widely used. As we said before, it’s not the most affordable option in the market, but if you are willing to pay the price you won’t be disappointed. Besides, they offer financing options, so buying it might not be as difficult as you thought. Also, they offer packages designed for the education sector so if you’re a student you could get one of those for a reduced price.

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Finally, take two things into account when you’re considering whether or not you should give this program a chance. First, it was created by IBM; that in itself is a point in its favor. Second, we’re reviewing version 24. If the program wouldn’t deliver and live up to its customers’ expectations it wouldn’t have survived this long.