IBM SPSS Statistics Review

Anomaly detection, with a useful algorithm handbook, but it's not scalable

What is our primary use case?

The primary use case of this solution is for statistical approaches, performing ED tests, and multi-armed bandit tests. It gathers the results that help us to decide on what type of campaign works best, and what type of branding would work best.

What is most valuable?

The features that I find to be the most valuable are the anomaly detection and its statistics. The clustering statistics are important as well as the usual old-school statistical analysis called ANOVA and ANCOVA. They are critical.

There were some new approaches that I hadn't used before. 

The best part is that they have an algorithm handbook, so you can open it up and understand how it works, and if it is useful, this is very important. Many people don't read these types of handbooks, but they should because it was very useful and I use it a lot.

What needs improvement?

I don't know if this solution is available on the cloud. If it is then we should be using it because it would be even better. The on-premises version is lax in terms of computational capability, so we have to use a more powerful computer.

Some new tools will be available soon with self-explanatory statistical results, and they have multi-language generations that create automatic reports with detailed explanations of the statistical reports. I wish that they were more advanced.

Some areas that need improvement or should be more advanced are in the reporting. The statistics should be more self-explanatory with detailed automated reports.

You should be able to walk through with the statistical schematics because some of the matters are advanced, and if you don't have a full understanding or you don't remember how to get the desired results then there should be a guide or a walkthrough to help and explain how it should be applied.

In the next release, they should have some new statistical approaches that can be applied, some new memory detection, and new clustering techniques.

Also, some new statistical methods to increase the different model's explainability would be helpful.

For how long have I used the solution?

I have been using this solution for more than three years.

What do I think about the stability of the solution?

This solution is stable.

What do I think about the scalability of the solution?

This solution is not scalable.

If I had known or implemented the version, then it may be scalable. The problem is that it's used on the original core and it's receiving a long analysis. It should be able to use multi-cores, and CPU, but it doesn't do anything like that. 

I am the only user.

How are customer service and technical support?

When you contact support, sometimes it takes a while because they don't know how to help you resolve your issue. In turn, they contact other areas of support and it takes time to get back to you.

The support is just ok, and you have to contact someone who works in the US or in Europe.

Which solution did I use previously and why did I switch?

Previously I was using SAP Statistics. It was old-school, so I switched to Visual Statistics and it was useful. From there, we switched IBM SPSS Statistics. It is a good solution but it would be even better if it had some automated skills.

How was the initial setup?

The initial setup was a little bit complex.

It took half of an evening to complete the setup and implementation, mainly waiting on support to help with issues.

What about the implementation team?

I did the implementation myself. I did not use a vendor or integrator.

What other advice do I have?

It's a pretty old-school statistical tool but it's useful.

I would recommend it, although there are some better tools available.

I would rate this solution a seven out of ten.

Which deployment model are you using for this solution?

**Disclosure: I am a real user, and this review is based on my own experience and opinions.
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