SAS Enterprise Miner Other Advice

HV
Executive Head of analytics at a retailer with 5,001-10,000 employees

Overall, I rate the product a nine out of ten.

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SP
Analytics Lead at Pegasus

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.

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SK
Senior Systems Engineer at a financial services firm with 10,001+ employees

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.

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Buyer's Guide
Data Mining
March 2024
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AK
Head Of Risk Management at a financial services firm with 11-50 employees

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.

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PS
Professor at a university with 1,001-5,000 employees

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.

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HV
Executive Head of analytics at a retailer with 5,001-10,000 employees

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 ten.  

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MB
Head of Model Development at a financial services firm with 1,001-5,000 employees

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.

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it_user1272276 - PeerSpot reviewer
Data Analyst at a financial services firm with 201-500 employees

If they are sure of what they want to do with the product then it is more than enough. The important part is that you have to know what you want it to be used for.

Overall it is a good solution.

I would rate this solution an eight out of ten.

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VA
Chief Data Scientist & Principal Consultant, StatLabs® at Facts n Data™ at a consultancy

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

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CG
Director at EBI

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.

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HS
Business Intelligence Developer at a media company with 1,001-5,000 employees

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.

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SA
Founder and CEO with 11-50 employees

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.

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Buyer's Guide
Data Mining
March 2024
Find out what your peers are saying about SAS, IBM, Knime and others in Data Mining. Updated: March 2024.
767,319 professionals have used our research since 2012.