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SAS Enterprise Miner OverviewUNIXBusinessApplication

SAS Enterprise Miner is #4 ranked solution in top Data Mining tools and #10 ranked solution in top Data Science Platforms. IT Central Station users give SAS Enterprise Miner an average rating of 8 out of 10. SAS Enterprise Miner is most commonly compared to IBM SPSS Modeler:SAS Enterprise Miner vs IBM SPSS Modeler. The top industry researching this solution are professionals from a computer software company, accounting for 22% of all views.
What is SAS Enterprise Miner?
SAS Enterprise Miner is a solution to create accurate predictive and descriptive models on large volumes of data across different sources in the organization. SAS Enterprise Miner offers many features and functionalities for the business analysts to model their data. Some of the business applications are for detecting fraud, minimizing risk, resource demands, reducing asset downtime, campaigns and reduce customer attrition.

SAS Enterprise Miner is also known as Enterprise Miner.

Buyer's Guide

Download the Data Mining Buyer's Guide including reviews and more. Updated: November 2021

SAS Enterprise Miner Customers
Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
SAS Enterprise Miner Video

Pricing Advice

What users are saying about SAS Enterprise Miner pricing:
  • "The solution is expensive for an individual, but for an enterprise/institution (purchasing bulk licenses), it is not a high price for the use that will come from it."
  • "This solution is for large corporations because not everybody can afford it."

SAS Enterprise Miner Reviews

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PS
Professor at a university with 1,001-5,000 employees
Real User
Top 10
Good GUI, an easy initial setup, and very flexible

Pros and Cons

  • "The solution is able to handle quite large amounts of data beautifully."
  • "While I don't personally need tutorials, I can't say that it wouldn't be helpful for others to have some to help them navigate and operate the system."

What is our primary use case?

I'm working on a research project and we're trying to create clusters of homogeneous residents with respect to their ability or their risk of generating pressure ulcers.

What is most valuable?

The solution is able to handle quite large amounts of data beautifully.

The modeling and the cluster analysis and the market-based analysis are the solution's most valuable aspects.

I like the flexibility in that I can put SAS code into Enterprise Miner nodes. I'm able to do everything I need to do, even if it's not part of Enterprise Miner. I can implement it using SAS code.

The GUI is good.

The initial setup is fairly easy to accomplish.

What needs improvement?

I don't know if there are any features this solution needs.

While I don't personally need tutorials, I can't say that it wouldn't be helpful for others to have some to help them navigate and operate the system.

For how long have I used the solution?

I've been using the solution for many years. I don't know the exact number, however, I can safely say it's been more than five.

What do I think about the stability of the solution?

The stability of the solution is excellent. I've never witnessed any glitches or bugs. It doesn't crash or freeze. I've found it to be reliable.

What do I think about the scalability of the solution?

I've never seen any limitations on the solution when it comes to scalability. However, I don't know what's possible. I don't know to what extent people might want to apply it, and whether it's going to be scalable or not. It suits my needs perfectly.

Dozens of people use the solution within my organization.

How are customer service and technical support?

Although I have had issues on the solution in the past, I have never called technical support to assist me. I've always been able to handle them myself. Therefore, I can't speak to the quality of service.

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

I previously worked with SAS as a STAT package.

How was the initial setup?

The initial setup is not complex. I find it to be quite straightforward.

I use it for research purposes and we use it to analyze research data. So it's not an ongoing deployment.

I work at a university, so the solution is maintained by the school. There is a tech services department that takes care of any maintenance required on the solution.

What about the implementation team?

I handled the implementation myself. I didn't need an integrator or consultant to assist me in the process.

What's my experience with pricing, setup cost, and licensing?

I don't deal with the pricing of the solution. I don't know what it costs the university.

What other advice do I have?

I use the latest version of the solution.

For me, SAS Enterprise Miner is not a standalone product. It's an effective tool, however, for data mining, especially for large amounts of data.

I'd rate the solution nine out of ten.

Which deployment model are you using for this solution?

Public Cloud
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Shilpa Prakash
Analytics Lead at Pegasus
Real User
Top 5Leaderboard
Good stability, very good data analysis tool pack and excellent documentation

Pros and Cons

  • "Most of the features, especially on the data analysis tool pack, are really good. The way they do clustering and output is great. You can do fairly elaborate outputs. The results, the ensembles, all of these, are fantastic."
  • "Virtualization could be much better."

What is our primary use case?

The solution can be used in any domain, including banking, insurance, health care, partitions, classifications, etc. It's basically a complete solution, that helps with data client consolidation.

How has it helped my organization?

It's a VSL service provider, so improvement to an organization depends on how the client designs the implementation for the plan. Clients would be better reviewers of how the solution has improved their organizations.

What is most valuable?

Most of the features, especially on the data analysis tool pack, are really good. The way they do clustering and output is great. You can do fairly elaborate outputs. The results, the ensembles, all of these, are fantastic.

What needs improvement?

The solution should be faster.

Virtualization could be much better.

The solution could add some freeware. The text analytics, for example, aren't there in the VSL version. It requires a separate license. It should be included in the main solution's license as it's a basic requirement. It's shouldn't cost extra.

For how long have I used the solution?

I've been working with the solution for four years.

What do I think about the stability of the solution?

The stability of the solution is good. We've never found any issues. It's compatible through any open-source solution. It's also very flexible for us to use in any of the parameters, unlike a few other professional products that we have used. With RedHat, for example, there is not the flexibility of changing the parameters and we are forced to use one or two version features.

What do I think about the scalability of the solution?

I haven't tried to scale because we don't have an extensive user base, so I can't speak to scalability.

How are customer service and technical support?

We haven't been in touch with technical support, but the documentation is quite elaborate, so I don't believe we'll need to reach out to them that much.

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

We previously used IBM products. This solution is more flexible and robust.

How was the initial setup?

The initial setup was complex, but the support for the solution is good, so it was an okay implementation.

Deployment times vary. If there's a device, the SAS administrator can set it up pretty fast. Otherwise, for a first time user, it takes a while. Having administrator services helps a lot.

What's my experience with pricing, setup cost, and licensing?

The solution is quite expensive. The pricing is too high.

What other advice do I have?

I'm a SAS Enterprise Miner certified professional. I'm both a consultant and a user of the solution.

Our company is using the on-premises deployment model, although we mostly use in-house products. I use the desktop version for our clients. We might use the Cloud, depending on what the client is comfortable with. Most of our clients are enterprises.

I'd advise others considering implementing the solution to look at the costs and licensing to see if it is within your organization's budget.

I'd rate the solution eight out of ten.

Disclosure: My company has a business relationship with this vendor other than being a customer: Partner
Find out what your peers are saying about SAS, IBM, Knime and others in Data Mining. Updated: November 2021.
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MB
Head of Model Development at a financial services firm with 1,001-5,000 employees
Real User
Top 20
Good for modeling and data mining but needs to show development history

Pros and Cons

  • "The solution is very good for data mining or any mining issues."
  • "The solution is very stable, but we do have some problems with discrepancies involving SAS not matching with the latest Java versions. It's not stable in cases where SAS tries to run on a different version because SAS doesn't connect with the latest Java update. Once a month we need to restart systems from scratch."

What is our primary use case?

We primarily use the solution for modeling and a lot of business processes with lots of data.

What is most valuable?

The solution is very good for data mining or any mining issues.

What needs improvement?

We are using a very old version of SAS Miner, so I'm not sure if my opinions would be relevant for many people as they may be out-of-date.

From my point of view, a useful feature that we need from this tool is a history of development. When a user develops a model, each step of development requires new steps, and we want to be able to audit all these steps due to our regulatory requirements in model development. In SAS, we just copy via a screenshot from the system and put it in some document that covers the relevant stage. I know other systems have a feature to audit all steps to show what the user has done through the entire process of developing a model. It would be a time saver for us.

The preparation of both the mining and modeling process could be improved. The solution requires data and will reflect data, but the preparation of the data is not useful for end-users. We ended up having to do the preparation in another tool.

For how long have I used the solution?

I've been using the solution for ten years.

What do I think about the stability of the solution?

The solution is very stable, but we do have some problems with discrepancies involving SAS not matching with the latest Java versions. It's not stable in cases where SAS tries to run on a different version because SAS doesn't connect with the latest Java update. Once a month we need to restart systems from scratch.

How are customer service and technical support?

I've never contacted SAS technical support as I'm not part of the technical department team. There's another department in our company that handles this.

How was the initial setup?

The initial setup is pretty straightforward. You just have to install it on the server and the users can connect to the server to access it.

What about the implementation team?

We handled the implementation ourselves.

What other advice do I have?

We were using the on-premises deployment model, however recently we switched solutions and now we are using FICO instead of SAS.

I'd recommend an open-source product over SAS, as I believe them to be the future.

I'd rate the solution seven out of ten.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
SK
Senior Systems Engineer at a financial services firm with 10,001+ employees
Real User
Top 10
Good technical support but too complex and not open-source

Pros and Cons

  • "The technical support is very good."
  • "The solution is much more complex than other options."

What is our primary use case?

We primarily just use the analytical tool section of the solution.

What is most valuable?

The stability is okay.

The technical support is very good.

What needs improvement?

We really don't like the protocols the solution offers. 

The solution is much more complex than other options.

For how long have I used the solution?

We've been using the solution for three or four years, however, it may have been a bit longer.

What do I think about the stability of the solution?

I don't recall having issues with stability. I can't recall if there are bugs or glitches.

What do I think about the scalability of the solution?

I don't really know to much about the scalability of the solution. It's not something I generally dealt with.

How are customer service and technical support?

I've contacted technical support in the past. I'd say they offer enough of a level of service to us. We're pretty satisfied with their level of service. SAS internal support is very qualified and if we have any issues, we contact them and trust that they can help. 

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

We are thinking to replace SAS with something like Anaconda. Actually, we are using Anaconda with Jupyter NET, however, we need to collect more details about Anaconda and other open-source analytic tools that could replace SAS.

How was the initial setup?

I don't have too much information on the initial setup, however, it's my understanding that it's quite complex.

What's my experience with pricing, setup cost, and licensing?

We'd prefer it if the solution was open source. That would make it less expensive.

What other advice do I have?

We're using Enterprise Guide simultaneously with Enterprise Miner.

From my perspective, I believe that open-source analytics tools are closer to fitting our needs. We prefer open-source options like Anaconda. They offer good support and features. Anaconda also integrates well with Jupyter NET, which is important for us.

Overall, on a scale from one to ten, I'd rate the solution at a five. If there were better protocols and wasn't as complex as it is, I'd rate it a bit higher.

Which deployment model are you using for this solution?

On-premises
Disclosure: My company has a business relationship with this vendor other than being a customer: Partner
AtherKhan
Head Of Risk Management at a financial services firm with 11-50 employees
Real User
Top 20
A comprehensive data analytics tool with several valuable features, satisfactory technical support, and a stable build

Pros and Cons

  • "I found the ease of use of the solution the most valuable. Additionally, other valuable features include: the user interface, power to extract data, compatibility with other technologies (specifically with PS400), and automation of several tasks."
  • "The initial setup is challenging if doing it for the first time."

What is our primary use case?

The primary use case of the solution was to perform fraud modeling techniques for a financial institution.

What is most valuable?

I found the ease of use of the solution the most valuable. Additionally, other valuable features include: the user interface, power to extract data, compatibility with other technologies (specifically with PS400), and automation of several tasks.

What needs improvement?

One improvement I would suggest is the compatibility with Microsoft SQL and to improve all communications to the solution.

For a future release, I would like for the solution to be combined with other product offerings as opposed to a lot of separate solutions. For example, Text Miner is a separate product. I have to spend additional money to purchase a license for Text Miner.

For how long have I used the solution?

I have been using the solution for four years.

What do I think about the stability of the solution?

The stability of the solution depends on the machine that is being used to run it. For example, if the machine's RAM is low, then issues may arise when dealing with large amounts of data.

What do I think about the scalability of the solution?

The solution helped me scale up several of my analytical projects.

How are customer service and technical support?

The customer service/technical support for this solution was satisfactory.

How was the initial setup?

The initial setup is challenging if doing it for the first time.

What's my experience with pricing, setup cost, and licensing?

The solution is expensive for an individual, but for an enterprise/institution (purchasing bulk licenses), it is not a high price for the use that will come from it.

What other advice do I have?

Individuals using this solution should be familiar with analytical techniques before they start with Enterprise Miner. Additionally, they should know the difference between SAS and SQL and understand why are they are using one or the other.

SAS is not a software development tool. Most people think that they will create applications using SAS, which is not true. It is an analytical tool and helps automate some of your tasks.

Which deployment model are you using for this solution?

On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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HV
Executive Head of Collections at a retailer with 5,001-10,000 employees
Real User
Top 20
Excellent integration; data management and analytics are key features.

Pros and Cons

  • "Good data management and analytics."
  • "Technical support could be improved."

What is our primary use case?

I'm a user of this solution and our use case is mostly for data management and analytics. The solution is on a server with access through to client applications. We have about 20 people who are direct users of this product. I'm the head of data engineering and we're customers of SAS Miner.

What is most valuable?

The most valuable feature of the solution is the data management and analytics. They also have very good integration. 

What needs improvement?

The main issue with the solution is the high cost, it's very expensive. You really need to be a corporate company to buy the software. Individuals or small business wouldn't be able to afford it. Technical support could also be improved. 

For how long have I used the solution?

I've been using this solution for many years. 

What do I think about the stability of the solution?

The stability is good, I haven't experienced any glitches. 

What do I think about the scalability of the solution?

I haven't experienced any issues with scalability. 

How are customer service and technical support?

Technical support is average, they're not the best but they're okay. The response times can be slow. They're not always immediately available when you need them. 

How was the initial setup?

The initial setup was fairly straightforward, but there's definitely complexities involved there. To get the software depot you need to first download it, which is a quite a big thing. You then need to go through the same process to update so you either need some help to get it done or just need to go and do it yourself. Deployment took a few days and we used the SAS guys to assist.

What other advice do I have?

I would recommend this product but there are open source products like Python that can do the same thing for free. Solutions like Jupiter Notebooks and Anaconda are also available. 

I would rate this product an eight out of 10.  

Disclosure: I am a real user, and this review is based on my own experience and opinions.
CG
Director at EBI
Real User
Top 10
Scalable, with good functional, but the languarge integration is not good

Pros and Cons

  • "he solution is scalable."
  • "The solution needs an easier interface for the user. The user experience isn't so easy for our clients."

What is our primary use case?

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

How has it helped my organization?

It helps the organization to build the DS part easily.

What is most valuable?

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

What needs improvement?

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.

For how long have I used the solution?

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

What do I think about the stability of the solution?

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.

What do I think about the scalability of the solution?

The solution is scalable.

How are customer service and technical support?

The technical support for the solution is okay.

How was the initial setup?

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.

What other advice do I have?

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.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
HarisSulehria
Business Intelligence Developer at a media company with 1,001-5,000 employees
Real User
Top 5
Compare performance of multiple models built using different algorithms

Pros and Cons

  • "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."

What is our primary use case?

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

What is most valuable?

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

What needs improvement?

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.

For how long have I used the solution?

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

What do I think about the stability of the solution?

We have not had any major issues with stability.

How are customer service and technical support?

I have not contacted technical support.

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

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

How was the initial setup?

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.

What's my experience with pricing, setup cost, and licensing?

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.

What other advice do I have?

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.

Which deployment model are you using for this solution?

On-premises
Disclosure: My company has a business relationship with this vendor other than being a customer: Partner