IBM SPSS - Great data analysis tool
February 27, 2018
IBM SPSS - Great data analysis tool
Score 10 out of 10
Vetted Review
Verified User
Modules Used
- IBM SPSS Statistics
Overall Satisfaction with IBM SPSS
In my workplace, we tend to gather as much data as we can about our coworkers. By doing so, there's plenty of data to be analyzed. Even more, I also do research and data analysis regarding client's briefings. As such, SPSS helps me analyze relationships among variables, by performing regression analysis, ANOVAs, etc.
- SPSS is a pretty easy to use software.
- It comes with many available actions that will allow you to do many analysis.
- It you feel like something is missing, you can always do some coding on the syntax in order to "tell" SPSS specifically what you are looking for.
- It allows you to download and use addons that make it an even more complete software.
- The data visualization options are really poor. The software is great for data analysis, but when you think about making a presentation or something like that, you will have to rely on other softwars to do so.
- It can take a while for a newbie to master it.
- The price is a bit high, specially for a single customer.
SPSS makes it easier for the intelligence team to analyze data from our gathering partnerships. Most market research companies do not provide a deep analysis on the data they gather; instead, they just gather it and send a simple report. When that is the case, we ask them to send us the original database and, when they do, SPSS allows us to do a deeper analysis.
Obviously, as being a tool that allows us to get a better understanding of the data (and, thus, of people), IBM SPSS makes us a more profitable organization, since it provides us with the tools to get the knowledge regarding customer's consumer habits, customer's beliefs and how parallel variables moderate such behaviors.
IBM SPSS is a better data analysis software, because it comes with commands that easily allow us to perform regression analysis, anovas, manovas, produce descriptive and frequency tables, and, due to that, it is a pretty complete software when you seek to establish relationships among variables. However, Microsoft Power BI is much better in terms of data visualization, despite not being so easy for us to perform such technical statistical analysis.