Our customers' main use cases for this solution are everything that needs statistics calculations, then we do it there.
I use the Custom Tables module in IBM SPSS Statistics.
The government office of education is one of my customers for IBM SPSS Statistics, but basically, every enterprise in the country almost uses IBM SPSS Statistics.
Regarding the ability to handle large data sets, the tool has that ability, as we are using very large data sets.
I'm not using the reporting feature of IBM SPSS Statistics; I'm using Cognos on IBM SPSS Statistics data to build the reports.
There are so many features of the tool that are the most useful, such as decision trees, which we can't live without.
Decision trees help by making all of our decisions in the company, such as deciding whether to go on a specific technology or to try and sell different products. Every decision we make we do with the decision trees.
Custom Tables helps to enhance data analysis capabilities by basically recreating all the tables that you have from your current data; it's replacing a semantic layer for BI, so the same thing for IBM SPSS Statistics. It's designing the metadata.
The biggest benefit of the IBM SPSS Statistics tool for my customers and me is that it's very old, meaning they have more experience. When the tool was first released, we had customer service that created surveys with the customers asking which way they wanted to go, what they would see within the tool, and what would be helpful. IBM basically created the tool according to this knowledge. It's very suitable, and they're very experienced, so there are no bugs, it's working great, and it's even implemented in every school here that teaches statistics.
It provides efficient and accurate analytics, with quantifiable metrics.