SAS Enterprise Miner Reviews

It enables statistical modeling of data using Base SAS (another product from the same vendor) as the backbone. One can create visual models to see the steps involved in modelling of data.

Using Base SAS, one can do statistical analysis of data. However, Base SAS is completely code driven (doesn't have any GUI). This is a big limitation as statisticians, often, are not so good at programming. SAS Enterprise Miner extends GUI capability and visual appeal to Base SAS, to a good extent.

The product is still not as intuitive as one would like it to be. For example, a competing product, IBM SPSS Modeler is nearly completely GUI driven, while SAS Enterprise Miner lacks some features. Plus it is prohibitively expensive and is not available with perpetual licensing.

Over seven years.

Not many.

It gets painfully slow with raw data in excess of 50GB and one has to go for multi-socket server based licensing that gets prohibitively expensive.

Email based support has a turnaround time of about 24 hours which is not good.

We use multiple solutions simultaneously.

Initial setup was OK. Not too complex, not too simple.

It has an annual licensing policy with an annual renewal of almost 35%. The initial cost (and therefore renewals) are extremely expensive. One can possibly invest that much in hardware and possibly go in for products like R that are very cheap in terms of total cost of ownership.

For clarity, R is an open source tool but with the limitation that it's an in-memory tool. When dealing with large datasets, RAM becomes an issue. R is much more flexible. So, rather that investing in a SAS license, we prefer to invest in high RAM hardware (256/512GB RAM) and use R.

Another issue with R is that native version is a single core product. Even if you have a multi-core CPU, it uses a single core. However, Microsoft R, a free version from Microsoft, does away with that limitation. There is also a multi-core (paid) version of R available through Microsoft which does away with in-memory limitation and works out to be much cheaper than SAS Enterprise Miner.

IBM SPSS Modeler, RapidMiner, R.

Be sure of your needs. In most scenarios, the pricing of SAS Enterprise Miner is not justified by the value it adds.

We primarily use the solution for data mining and machine learning.

It helps the organization to build the DS part easily.

The data processing of the solution is very good, easy to use, both for enterprise and personal use.

The solution needs a language integration like Python for the user with more efficiency programming; SAS is kind of a powerful tool in past years that focus in SAS environment. but Python is more open and popular, which will be more acceptable in today's data science area.

I've been using the solution for about ten years.

The stability isn't perfect. We have issues with accuracy. In some AI forecasting areas, and the accuracy is not as good as the clients need it to be.

The solution is scalable.

The technical support for the solution is okay.

The initial setup is not so easy. Not many clients know much about the AI, so it's difficult to educate our clients on AI tech in order to make them feel comfortable using the product once it's implemented. Deployment takes about three to six months.

We use the cloud deployment model.

Our clients want to use more popular and more open-source tools, so SAS isn't so popular in our region.

I'd rate the solution seven out of ten. I'd rate the solution higher if it was easier to use. Right now, it requires too much effort to explain the tool to clients.

The primary use was for predictive analytics and to create a forecasting model. I was also using it for reporting.

The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them.

The visualization of the models is not very attractive, so the graphics should be improved.

I would like to see the user interface improved a bit.

I have only been using SAS Enterprise Miner for a short time.

We have not had any major issues with stability.

I have not contacted technical support.

I have used different solutions for Visual Analytics, but they have been for personal use.

I would say that the initial setup was a bit complex and hard to understand in the beginning. Overall, it was not very easy and not very difficult.

The license is really expensive. This solution is for large corporations because not everybody can afford it. It is a little bit tricky because you have to buy a license for each and every component that you use. For example, we wanted to add a plugin and we needed to buy it, which makes this an expensive tool.

We did not deploy this solution for our customer. Rather, we used Enterprise Miner to create a solution that was operationalized for production.

I would rate this solution an eight out of ten.

I primarily use the solution for text mining.

Normally I use the SAS 6 Miner, it's a component of SAS Enterprise Miner. It's very useful.

The user interface of the solution needs improvement. It needs to be more visual.

The stability of the solution, especially 14.3, is very good.

The solution is scalable.

Technical support has been good. At the start of using the product, I had issues. I called them and they were very helpful. I'd rate them five out of five.

The setup is straightforward. Deployment doesn't take more than 30 minutes.

For me, the pricing is $3000 monthly for the license. There aren't any additional costs.

Currently, I am using the desktop version of the solution, but I do plan to move to the cloud.

In terms of advice, I'd tell other organizations to be specific about their use case as there are many components that can be used.

I'd rate the solution seven out of ten.

• Quantity models for data mining
• Performance is excellent

• Helps one of the banks where I've worked (CGD at Portugal) to have more knowledge of their clients
• Helps us obtain better campaign results (credit cards, etc).

• Price of the product
• Graphing functionalities