Head Of Risk Management at a financial services firm with 11-50 employees
Real User
2021-01-24T08:34:00Z
Jan 24, 2021
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.
Senior Systems Engineer at a financial services firm with 10,001+ employees
Real User
2020-11-08T06:41:43Z
Nov 8, 2020
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.
Professor at a university with 1,001-5,000 employees
Real User
2020-07-26T08:18:57Z
Jul 26, 2020
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.
Executive Head of analytics at a retailer with 5,001-10,000 employees
Real User
Top 20
2020-06-01T05:06:35Z
Jun 1, 2020
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.
Business Intelligence Developer at a media company with 1,001-5,000 employees
Real User
2020-02-05T08:05:09Z
Feb 5, 2020
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.
Data Analyst at a financial services firm with 201-500 employees
Real User
2020-01-29T11:22:34Z
Jan 29, 2020
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.
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.
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.
Senior Business Analyst at a financial services firm with 1,001-5,000 employees
Real User
2019-12-11T05:40:00Z
Dec 11, 2019
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.
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.
Data Mining is an essential process used to uncover patterns, correlations, and insights from large datasets. It plays a critical role in informed decision-making across diverse sectors.
Data Mining, by leveraging sophisticated algorithms and statistical models, helps organizations identify meaningful patterns within massive datasets. This process enhances predictive analysis, enabling companies to anticipate trends and customer behaviors effectively. It combines elements of machine...
Overall, I rate the product a nine out of ten.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.